IDEAL Publications

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Publications by Year: the most extensive listings.

[2009] [2008] [2007] [2006] [2005] [2004] [2003] [2002] [2000-2001] [1995-1999] [before 1995]

Publications by Topic:

Clustering: including Co-clustering and Consensus Clustering / Cluster Ensembles
Multi-learner Systems: including Classifier Ensembles, Knowledge Transfer and Reuse and Hybrid Systems
Web Mining: including link analysis, document clustering, taxonomies
Theory and Applications: Remote Sensing and Other Engineering Applications

Publications from 2002

Analysing and improving clustering based sampling for microprocessor simulation
Y. Luo and A. Joshi and A. Phansalkar and L. John and J. Ghosh
International Journal of High Performance Computing and Networking Vol. 5 No. 4 pp. 200--214 (Eds) 2008
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Bregman bubble clustering: A robust framework for mining dense clusters
G. Gupta and J. Ghosh
ACM Trans. Knowl. Discov. Data Vol. 2 No. 2 pp. 1--49 (Eds) 2008
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Automated Hierarchical Density Shaving: A robust, automated clustering and visualization framework for large biological datasets
G. Gupta and A. Liu and J. Ghosh
IEEE Trans. On Comp. Bio and Bioinformatics (TCBB) Vol. No. pp. (Eds) 2008
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An Active Learning Approach to Hyperspectral Data Classification
S. Rajan and J. Ghosh and M. M. Crawford
Geoscience and Remote Sensing, IEEE Transactions on Vol. 46 No. 4 pp. 1231-1242 (Eds) 2008
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Top 10 algorithms in data mining
X. Wu and V. Kumar and J. Ross Quinlan and J. Ghosh and Q. Yang and H. Motoda and G. McLachlan and A. Ng and B. Liu and P. Yu and Z. Zhou and M. Steinbach and D. Hand and D. Steinberg
Knowledge and Information Systems Vol. 14 No. 1 pp. 1--37 (Eds) 2008
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A Generalized Maximum Entropy to Bregman Co-clustering and Matrix Approximation
A. Banerjee and I. Dhillon and J. Ghosh and S. Merugu and D. Modha
JMLR Vol. 8 No. pp. 1919-1986 (Eds) 2007
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Application of Artificial Neural Networks to Broadband Antenna Design Based on a Parametric Frequency Model
Y. Kim and S. Keely and J. Ghosh and H. Ling
Antennas and Propagation, IEEE Transactions on Vol. 55 No. 3 pp. 669-674 (Eds) 2007
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Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
S. Rajan and J. Ghosh and M. M. Crawford
IEEE Trans. on Geosci. and Remote Sens. Vol. 44 No. 11 pp. 3408-3417 (Eds) 2006
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Scalable Clustering Algorithms with Balancing Constraints
A. Banerjee and J. Ghosh
Data Mining and Knowledge Discovery Vol. 13 No. pp. 265-295 (Eds) 2006
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Probabilistic Principal Surface Classifier
K. Chang and J. Ghosh
Fuzzy Systems and Knowledge Discovery Vol. No. pp. 1236--1244 (Eds) 2005
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A privacy-sensitive approach to distributed clustering
S. Merugu and J. Ghosh
Pattern Recognition Letters Vol. 26 No. 4 pp. 399--410 (Eds) 2005
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Generative model-based document clustering: a comparative study
S. Zhong and J. Ghosh
Knowl. Inf. Syst. Vol. 8 No. 3 pp. 374--384 (Eds) 2005
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A comparative study of generative models for document clustering
S. Zhong and J. Ghosh
Knowledge and Intelligent Systems Vol. 8 No. pp. 165-182 (Eds) 2005
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Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
A. Banerjee and I. Dhillon and J. Ghosh and S. Sra
Jl. Machine Learning Research (JMLR) Vol. 6 No. pp. 1345-1382 (Eds) 2005
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Clustering with Bregman Divergences
A. Banerjee and S. Merugu and I. Dhillon and J. Ghosh
Jl. Machine Learning Research (JMLR) Vol. 6 No. pp. 1705-1749 (Eds) 2005
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Exploiting Class Hierachies for Knowledge Transfer in Hyperspectral Data
S. Rajan and J. Ghosh
Multiple Classifier Systems Vol. No. pp. 417-428 N. C. Oza and R. Polikar and (Eds) 2005
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Investigation of the Random Forest Framework for Classification of Hyperspectral Data
J. Ham and Y. Chen and M. M. Crawford and J. Ghosh
IEEE Trans. Geosci. and Remote Sens. Vol. 43 No. 3 pp. 492--501 (Eds) 2005
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Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data
J. T. Morgan and A. Henneguelle and J. Ham and M. M. Crawford and J. Ghosh
International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) Vol. 18(5) No. pp. 777-800 (Eds) 2004
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Frequency-Sensitive Competitive Learning for Scalable Balanced Clustering on High-dimensional Hyperspheres
A. Banerjee and J. Ghosh
IEEE Transactions on Neural Networks Vol. 15 No. 3 pp. 702-719 (Eds) 2004
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Bayes Error Rate Estimation Using Classifier Ensembles
K. Tumer and J. Ghosh
International Journal of Smart Engineering System Design Vol. 5 No. 2 pp. 95--109 (Eds) 2003
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A Unified Framework for Model-based Clustering
S. Zhong and J. Ghosh
Jl. Machine Learning Research (JMLR) Vol. 4 No. pp. 1001-1037 (Eds) 2003
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Relationship-based Clustering and Visualization for High-dimensional Data Mining
A. Strehl and J. Ghosh
INFORMS Journal on Computing Vol. 15 No. 2 pp. 208-230 (Eds) 2003
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Cluster Ensembles -- A Knowledge Reuse Framework for Combining Partitionings
A. Strehl and J. Ghosh
Journal of Machine Learning Research Vol. 3 No. 3 pp. 583-617 (Eds) 2002
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Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
S. Kumar and J. Ghosh and M. M. Crawford
Pattern Analysis and Applications, spl. Issue on Fusion of Multiple Classifiers Vol. 5 No. 2 pp. 210-220 (Eds) 2002
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Robust combining of disparate classifiers through order statistics
K. Tumer and J. Ghosh
Pattern Analysis and Applications, spl. Issue on Fusion of Multiple Classifiers Vol. 5 No. 2 pp. (Eds) 2002
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A Unified Model for Probabilistic Principal Surfaces
K. Chang and J. Ghosh
IEEE Trans. PAMI Vol. 23 No. 1 pp. 22--41 (Eds) 2001
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Best basis feature extraction algorithms for classification of hyperspectral data
S. Kumar and J. Ghosh and M. M. Crawford
IEEE Trans. Geosci. Remote Sens. Vol. 39 No. pp. 1368-1379 (Eds) 2001
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A Hierarchical Multiclassifier System for Hyperspectral Data Analysis
S. Kumar and J. Ghosh and M. M. Crawford
Lecture Notes in Computer Science Vol. 1857 No. pp. 270+ (Eds) 2000
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Effective Supra-classifiers for Knowledge Base construction
K. D. Bollacker and J. Ghosh
Pattern Recognition Letters Vol. 20(11-13) No. pp. 1347-52 (Eds) 1999
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Retinally reconstructed images: Digital images having a resolution match with the human eye
T. Kuyel and W. S. Geisler and J. Ghosh
IEEE Trans. on Systems, Man, and Cybernetics Vol. Part A, 29 No. 2 pp. 235-243 (Eds) 1999
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Structurally adaptive modular networks for non-stationary environments
V. Ramamurti and J. Ghosh
IEEE Trans. on Neural Networks Vol. 10 No. 1 pp. 152-60 (Eds) 1999
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Symbolic Interpretation of Artificial Neural Networks
I. Taha and J. Ghosh
IEEE Trans. Knowledge and Data Engineering Vol. 11 No. 3 pp. 448-463 (Eds) 1999
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Hierarchical Adaptive Kalman Filtering for Interplanetary Orbit Determination
W. S. Chaer and R. H. Bishop and J. Ghosh
IEEE Trans. Aerospace and Electronic Systems Vol. 34 No. pp. 883-896 (Eds) 1998
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Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks
J. G. Kagan Tumer, Nirmala Ramanujam and R. Richards-Kortum
IEEE transactions of Biomedical Engineering Vol. 45 No. 8 pp. 953-961 (Eds) 1998
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A Habituation Based Neural Network for Spatio-Temporal Classification
B. W. Stiles and J. Ghosh
Neurocomputing Vol. 15 No. pp. 273-303 (Eds) 1997
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A Hybrid Intelligent Architecture and Its Application to Water Reservoir Control
I. Taha and J. Ghosh
International Journal of Smart Engineering Systems Vol. 1 No. pp. 59-75 (Eds) 1997
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A mixture-of-experts framework for adaptive Kalman filtering
W. S. Chaer and R. H. Bishop and J. Ghosh
IEEE Trans. on Systems, Man, and Cybernetics Vol. 27(B) No. pp. 452-64 (Eds) 1997
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Complete Memory Structures for Approximating Nonlinear Discrete Time Mappings
B. W. Stiles and I. W. Sandberg and J. Ghosh
IEEE Trans. on Neural Networks Vol. 8 No. pp. 1397-1409 (Eds) 1997
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Function emulation using radial basis function networks
S. V. Chakaravathy and J. Ghosh
nn Vol. 10 No. pp. 459-478 (Eds) 1997
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Knowledge Reuse in Multiple Classifier Systems
K. D. Bollacker and J. Ghosh
Pattern Recognition Letters Vol. 18(11-13) No. pp. 1385-1390 (Eds) 1997
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On Hebbian-like Adaptation in Heart Muscle: A Proposal for "Cardiac Memory"
S. V. Chakravarthy and J. Ghosh
Biological Cybernetics Vol. 76 No. 3 pp. 207-215 (Eds) 1997
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A Complex-Valued Associative Memory for Storing Patterns as Oscillatory States
S. V. Chakravarthy and J. Ghosh
Biological Cybernetics Vol. 75 No. pp. 229-238 (Eds) 1996
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A Concurrent Architecture for Serializable Production Systems
J. N. Amaral and J. Ghosh
IEEE Trans. Parallel and Distributed Systems Vol. 7 No. 12 pp. 1268-80 (Eds) 1996
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Analysis of Decision Boundaries in Linearly Combined Neural Classifiers
K. Tumer and J. Ghosh
Pattern Recognition Vol. 29 No. 2 pp. 341-348 (Eds) 1996
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Error Correlation and Error Reduction in Ensemble Classifiers
K. Tumer and J. Ghosh
Connection Science Vol. 8 No. 3/4 pp. 385-404 (Eds) 1996
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Scale-based clustering using a radial basis function network
S. V. Chakaravathy and J. Ghosh
IEEE Transactions on Neural Networks Vol. 2 No. 5 pp. 1250-61 (Eds) 1996
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Ridge Polynomial Networks
Y. Shin and J. Ghosh
IEEE Trans. Neural Networks Vol. 6 No. pp. 610-622 (Eds) 1995
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Predictive Dynamic Bandwidth Allocation for Efficient Transport of Real-time VBR Video over ATM
S. Chong and S. Q. Li and J. Ghosh
IEEE Jl. Selected Areas in Communication Vol. 13 No. pp. 12-23 (Eds) 1995
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Designing Genetic Algorithms for the State Assignment Problem
J. N. Amaral and K. Tumer and J. Ghosh
IEEE Transactions on Systems, Man and Cybernetics Vol. 25 No. 4 pp. 687-695 (Eds) 1995
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Ridge polynomial networks
Y. Shin and J. Ghosh
Neural Networks, IEEE Transactions on Vol. 6 No. 3 pp. 610-622 (Eds) 1995
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The Rapid Kernel Classifier: A link between the self-organizing feature map and the radial basis function network
J. Ghosh and S. V. Chakravarthy
Journal of Intelligent Material Systems and Structures Vol. 5 No. pp. 211-219 (Eds) 1994
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Structural Adaptation and Generalization in Supervised Feedforward Networks
J. Ghosh and K. Tumer
Jl. of Artificial Neural Networks Vol. 1 No. 4 pp. 431-458 (Eds) 1994
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OTA Based Neural Network Architectures with On-Chip Tuning of Synapses
J. Ghosh and P. LaCour and S. Jackson
IEEE Trans. Circuits and Systems,-II: Analog and DSP Vol. 41 No. pp. 49-58 (Eds) 1994
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Structural Adaptation and Generalization in Supervised Feedforward Networks
J. Ghosh and K. Tumer
Journal of Artificial Neural Networks Vol. 1 No. 4 pp. 431-458 (Eds) 1994
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Pattern Association and Retrieval in a Continuous Neural system
H. J. Chang and J. Ghosh
biocyb Vol. 69 No. pp. 77-86 (Eds) 1993
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Representation and classification of temporal patterns
J. Ghosh
Tutorial Notes, ANNIE '93 Vol. No. pp. (Eds) 1993
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A Macroscopic Model of Neural ensembles: Learning induced oscillations in a cell assembly
H. J. Chang and J. Ghosh and K. Liano
ijns Vol. 3 No. 2 pp. 179-198 (Eds) 1992
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Efficient Higher-Order Networks for Function Approximation and Classification
J. Ghosh and Y. Shin
ijns Vol. 3 No. 4 pp. 323-350 (Eds) 1992
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A neural network based hybrid system for detection, characterization and classification of short-duration oceanic signals
J. Ghosh and L. Deuser and S. Beck
IEEE Jl. of Ocean Engineering Vol. 17 No. 4 pp. 351-363 (Eds) 1992
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A neural network based hybrid system for detection, characterization, and classification of short-duration oceanic signals
J. Ghosh and L. Deuser and S. D. Beck
Oceanic Engineering, IEEE Journal of Vol. 17 No. 4 pp. 351-363 (Eds) 1992
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Neural Networks for Fast Arbitration and Switching Noise Reduction in Large Crossbars
J. Ghosh and A. Hukkoo and A. Varma
IEEE Trans. Circuits and Systems Vol. 38 No. 8 pp. 895-904 (Eds) 1991
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Mapping Neural Networks onto Message-Passing Multicomputers
J. Ghosh and K. Hwang
J. of Parallel and Distributed Computing Vol. 6 No. pp. 291-330 (Eds) 1989
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Conference Papers

Pervasive Parallelism in Data Mining: Dataflow solution to Co-clustering Large and Sparse Netflix Data
S. Daruru and N. Marin and M. Walker and J. Ghosh
Proc. 15th ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD09) Vol. No. pp. (Eds) 2009
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Mining for Most Certain Predictions from Dyadic Data
M. Deodhar and J. Ghosh
Proc. 15th ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD09) Vol. No. pp. (Eds) 2009
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Active learning of hyperspectral data with spatially dependent label acquisition costs
A. Liu and G. Jun and J. Ghosh
Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS09) Vol. No. pp. (Eds) 2009
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A Scalable Framework for Discovering Coherent Co-clusters in Noisy Data
M. Deodhar and G. Gupta and J. Ghosh and H. Cho and I. Dhillon
Proc. International Conference on Machine Learning (ICML09) Vol. No. pp. (Eds) 2009
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Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes
G. Jun and J. Ghosh
Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS09) Vol. No. pp. (Eds) 2009
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Machine Learning Based Lithographic Hotspot Detection with Critical Feature Extraction and Classification
D. Ding and X. Wu and J. Ghosh and D. Z. Pan
Proc. International Conference on IC Design and Technology Vol. No. pp. (Eds) 2009
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Active learning for recommender systems with multiple localized models
M. Deodhar and J. Ghosh and M. Tsar-Tsansky
Proc. Fifth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR09) Vol. No. pp. (Eds) 2009
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Innovation in Simulating Lifetime Diabetes Risk among Mexican-Americans Living along the US-Mexico: An Agent-Based Modeling Approach
H. J. Lanham and A. L. Winegar and H. S. Brown and W. M. Sage and J. Watson and C. Deigert and D. M. Rintoul and J. Reuben R. McDaniel and J. Ghosh
Proc. AcademyHealth Annual Research Meeting Vol. No. pp. (Eds) 2009
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Spatially Cost-sensitive Active Learning
A. Liu and G. Jun and J. Ghosh
Proc. SIAM International Conference on Data Mining (SDM09) Vol. No. pp. (Eds) 2009
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Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Deodhar, Meghana and Ghosh, Joydeep and Gupta, Gunjan and Cho, Hyuk and Dhillon, Inderjit
ICDMW '08: Proceedings of the 2008 IEEE International Conference on Data Mining Workshops Vol. No. pp. 654--663 (Eds) 2008
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A Spam Resistant Family of Concavo-Convex Ranks for Link Analysis
S. Acharyya and J. Ghosh
Proc. ACM 17th Conference on Information and Knowledge Management (CIKM '08) Vol. No. pp. (Eds) 2008
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A Text Retrieval Approach to Content-Based Audio Retrieval
M. Riley and E. Heinen and J. Ghosh
Proc. Ninth International Conference on Music Information Retrieval (ISMIR 08) Vol. No. pp. 295--300 (Eds) 2008
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A Framework for Simultaneous Co-clustering and Modeling of Dyadic Data
M. Deodhar and J. Ghosh
Snowbird Learning Workshop Vol. No. pp. (Eds) 2008
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Dimensionality Reduction by Minimum Margin Sandwich
S. Acharyya and J. Ghosh
Proc. Snowbird Learning Workshop Vol. No. pp. (Eds) 2008
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Spatially Adapted Manifold Learning For Classification Of Hyperspectral Imagery With Insufficient Labeled Data
W. Kim and M. M. Crawford and J. Ghosh
Proc. 2008 International Geosci. and Sens. Symposium (IGARSS08), Boston Vol. No. pp. (Eds) 2008
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An Efficient Active Learning Algorithm With Knowledge Transfer For Hyperspectral Remote Sensing Data
G. Jun and J. Ghosh
Proc. 2008 International Geosci. and Sens. Symposium (IGARSS08), Boston Vol. No. pp. (Eds) 2008
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Enhanced Hierarchical Classification via Isotonic Smoothing
K. Punera and J. Ghosh
Proc. WWW, Beijing Vol. No. pp. 151-160 (Eds) 2008
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Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
M. Deodhar and J. Ghosh
Data Mining for Marketing Workshop, ICDM/08 Vol. No. pp. (Eds) 2008
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Multiresolution Manifold Learning for Classification of Hyperspectral Data
W. Kim and Y. Chen and M. Crawford and J. C. Tilton and J. Ghosh
2007 International Geosci. and Sens. Symposium Vol. No. pp. (Eds) 2007
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Simultaneous Co-clustering and modeling of market data
M. Deodhar and J. Ghosh
Data Mining for Marketing Workshop, ICDM/07 Vol. No. pp. (Eds) 2007
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Consensus Based Ensembles of Soft Clusterings
K. Punera and J. Ghosh
Proc. MLMTA'07 - Int'l Conf. on Machine Learning: Models, Technologies & Applications Vol. No. pp. (Eds) 2007
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Generative Oversampling for Mining Imbalanced Datasets.
A. Liu and J. Ghosh and C. Martin
DMIN Vol. No. pp. 66-72 Robert Stahlbock and Sven F. Crone and Stefan Lessmann(Eds) 2007
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Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data
C. Krumpelman and J. Ghosh
Intelligence and Bioinformatics and Computational Biology, 2007. CIBCB '07. IEEE Symposium on Vol. No. pp. 121-126 (Eds) 2007
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A Framework for Simultaneous Co-clustering and Learning from Complex Data
M. Deodhar and J. Ghosh
KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining Vol. No. pp. 250--259 (Eds) 2007
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Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification
Y. Chen and M. M. Crawford and J. Ghosh
IEEE Symposium on Computational Intelligence and Data Mining, 2007. CIDM 2007. Vol. No. pp. 316-322 (Eds) 2007
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Clustering and Visualization of High-Dimensional Biological Datasets using a fast HMA Approximation
G. Gupta and A. Liu and J. Ghosh
Proc. ANNIE '06 Vol. No. pp. (Eds) 2006
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Weighted Consensus Clustering for Microarray Data Analysis
M. Deodhar and J. Ghosh
Proc. ANNIE '06 Vol. No. pp. (Eds) 2006
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An Active Learning Approach to Knowledge Transfer for Hyperspectral Data
S. Rajan and J. Ghosh and M. M. Crawford
Proc. 2006 Intl. Geosci. Remote Sens. Symposium (IGARSS) Vol. No. pp. (Eds) 2006
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Automatic Construction of N-ary Tree Based Taxonomies
K. Punera and S. Rajan and J. Ghosh
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on Vol. No. pp. 75-79 (Eds) 2006
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Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data
G. K. Gupta and J. Ghosh
Proc. ICDM'06 Vol. No. pp. (Eds) 2006
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Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
M. Deodhar and J. Ghosh
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on Vol. No. pp. 104-108 (Eds) 2006
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Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
G. Gupta and A. Liu and J. Ghosh
ICDMW '06: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops Vol. No. pp. 89--93 (Eds) 2006
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Identifying Information in Stock Message Boards and Its Implications for Stock Market Efficiency
B. Gu and P. Konana and A. Liu and B. Rajagopalan and J. Ghosh
WISE 2006 Vol. No. pp. (Eds) 2006
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Improved nonlinear manifold learning for lancover classification via intelligent landmark selection
Y. Chen and M. M. Crawford and J. Ghosh
Proc. 2006 Intl. Geosci. Remote Sens. Symposium (IGARSS) Vol. No. pp. (Eds) 2006
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Clustering and Co-clustering with Bregman Divergences: A Brief Overview
J. Ghosh and A. Banerjee and S. Merugu and I. Dhillon
Proc. of First International Conference on Pattern Recognition and Machine Intelligence (PReMI'05) Vol. No. pp. (Eds) 2005
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Automatically learning document taxonomies for hierarchical classification
Punera, Kunal and Rajan, Suju and Ghosh, Joydeep
WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web Vol. No. pp. 1010--1011 (Eds) 2005
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Analyzing and improving clustering based sampling for microprocessor simulation
Y. Luo and A. Joshi and A. Phansalkar and L. John and J. Ghosh
Computer Architecture and High Performance Computing, 2005. SBAC-PAD 2005. 17th International Symposium on Vol. No. pp. 193-200 (Eds) 2005
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A Distributed Learning Framework for Heterogeneous Data Sources
S. Merugu and J. Ghosh
Proc. KDD Vol. No. pp. 208-217 (Eds) 2005
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A Maximum Likelihood Frameword for Integrating Taxonomies
S. Rajan and K. Punera and J. Ghosh
Proc. of AAAI 2005 Vol. No. pp. 856--861 (Eds) 2005
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Applying Nonlinear Manifold Learning to Hyperspectral Data for Land cover Classification
Y. Chen and M. M. Crawford and J. Ghosh
Proc. 2005 Intl. Geosci. Remote Sens. Symposium (IGARSS)Symposium Vol. No. pp. (Eds) 2005
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Automated Learning of Taxonomies of Text Documents for Hiearhical Classification
K. Punera and S. Rajan and J. Ghosh
Proc. WWW14 Vol. No. pp. 662-673 (Eds) 2005
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CLUMP: A Scalable and Robust Framework for Structure Discovery
K. Punera and J. Ghosh
ICDM05 Vol. 0 No. pp. 757-760 (Eds) 2005
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Model Based Overlapping Clustering
A. Banerjee and S. Basu and C. Krumpelman and J. Ghosh and R. Mooney
Proceedings of KDD2005 Vol. No. pp. 100--106 (Eds) 2005
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Robust one-class clustering using hybrid global and local search
G. Gupta and J. Ghosh
ICML '05: Proceedings of the 22nd international conference on Machine learning Vol. No. pp. 273--280 (Eds) 2005
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A generalized maximum entropy to Bregman co-clustering and matrix approximation
A. Banerjee and I. Dhillon and J. Ghosh and S. Merugu and D. Modha
Proc. 10th Intl. Conf. on Knowledge Discovery and Data Mining (KDD) Vol. No. pp. 509--514 (Eds) 2004
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An Empirical Comparison of Hierarchical vs. Two-level approaches to Multiclass Problems
S. Rajan and J. Ghosh
Multiple Classifier Systems Vol. No. pp. 283-292 F. Roli and J. Kittler and T. Windeatt (Eds) 2004
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An information theoretic analysis of maximum likelihood mixture estimation for exponential families
A. Banerjee and I. Dhillon and J. Ghosh and S. Merugu
ICML '04: Proceedings of the twenty-first international conference on Machine learning Vol. No. pp. 8 (Eds) 2004
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Clustering with Bregman Divergences
A. Banerjee and S. Merugu and I. Dhillon and J. Ghosh
Proc. Fourth Siam Conf. On Data Mining, (SDM2004) Vol. No. pp. 234-245 (Eds) 2004
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Integrating Support Vector Machines in a Hierarchical Output Decomposition Framework
Y. Chen and M. M. Crawford and J. Ghosh
Poc. 2004 Intl. Geosci. Remote Sens. Symposium (IGARSS) Vol. No. pp. 949-953 (Eds) 2004
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Outlink estimation for pagerank computation under missing data
S. Acharyya and J. Ghosh
WWW '04 Vol. No. pp. (Eds) 2004
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Distributed data mining with limited knowledge sharing
J. Ghosh and S. Merugu
Proc. 5th Internat. Conf. on Advances in Pattern Recognition (ICAPR) Vol. No. pp. 48--53 (Eds) 2003
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Model-based clustering with soft balancing
S. Zhong and J. Ghosh
Third IEEE International Conference on Data Mining, 2003. ICDM 2003 Vol. No. pp. 459--466 (Eds) 2003
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Robust classifiers for hyperspectral data analysis using limited training data
M. Crawford and J. Ham and J. Ghosh
Tyrrhenian International Workshop on Remote Sensing, Elba Island, Italy, Sept Vol. No. pp. 15--18 (Eds) 2003
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Generative model-based clustering of directional data
A. Banerjee and I. Dhillon and J. Ghosh and S. Sra
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining Vol. No. pp. 19--28 (Eds) 2003
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Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search
D. Korycinski and M. Crawford and J. W. Barnes and J. Ghosh
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International Vol. 1 No. pp. 297-299 vol.1 (Eds) 2003
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A comparative study of generative models for document clustering
S. Zhong and J. Ghosh
Workshop on Clustering High Dimensional Data : Third SIAM Conference on Data Mining Vol. No. pp. (Eds) 2003
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A maximum entropy framework for higher order link analysis on directed graphs
S. Acharyya and J. Ghosh
LinkKDD2003 Vol. No. pp. (Eds) 2003
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A probabilistic approach to privacy-sensitive distributed data mining
S. Merugu and J. Ghosh
Proc. Sixth Int'l Conf. on Information Technology, CIT-2003 Vol. No. pp. (Eds) 2003
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Context-Sensitive Modeling of Web-Surfing Behaviour using Concept Trees
S. Acharyya and J. Ghosh
WEBKDD03 Vol. No. pp. (Eds) 2003
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Polyline Feature extraction for Land Cover Classification using Hyperspectral Data
A. Henneguelle and J. Ghosh and M. M. Crawford
Proc. IICAI-03 Vol. No. pp. 256-269 (Eds) 2003
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Privacy-perserving distributed clustering using generative models
S. Merugu and J. Ghosh
Proc. ICDM Vol. No. pp. 211-218 (Eds) 2003
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Random Forests of Binary Hierarchical Classifiers for Analysis of Hyperspectral Data
M. M. Crawford and J. Ham and Y. Chen and J. Ghosh
Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on Vol. No. pp. 337- 345 (Eds) 2003
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Scalable, balanced, model-based clustering
S. Zhong and J. Ghosh
Proc.3rd SIAM Conference on Data Mining (SDM) Vol. No. pp. 71-82 (Eds) 2003
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A Unified Framework for Model-based Clustering
S. Zhong and J. Ghosh
Proc. of ANNIE Vol. No. pp. (Eds) 2002
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Best bases Bayesian hierarchical classifier for hyperspectral data analysis
J. T. Morgan and A. Henneguelle and M. M. Crawford and J. Ghosh and A. Neuenschwander
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International Vol. 3 No. pp. 1434-1437 vol.3 (Eds) 2002
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A consensus framework for integrating distributed clusterings under limited knowledge sharing
J. Ghosh and A. Strehl and S. Merugu
Proc. NSF Workshop on Next Generation Data Mining, Baltimore Vol. No. pp. 99-108 (Eds) 2002
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Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth
J. T. Morgan and A. Henneguelle and M. M. Crawford and J. Ghosh and A. Neuenschwander
Multiple Classifier Systems Vol. No. pp. 189-200 F. Roli and J. Kittler(Eds) 2002
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Characterizing Visitors to a Website Across Multiple Sessions
A. Banerjee and J. Ghosh
Proc. NSF Workshop on Next Generation Data Mining, Baltimore Vol. No. pp. 218-227 (Eds) 2002
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Cluster Ensembles -- A Knowledge Reuse Framework for Combining Partitionings
A. Strehl and J. Ghosh
Proceedings of AAAI 2002, Edmonton, Canada Vol. No. pp. 93-98 (Eds) 2002
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Frequency Sensitive Competitive Learning for Clustering on High-dimensional Hyperspheres
A. Banerjee and J. Ghosh
Proc. IJCNN'02, Honolulu Vol. No. pp. 1590-1595 (Eds) 2002
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HMMs and Coupled HMMs for Multi-channel EEG Classification
S. Zhong and J. Ghosh
Proc. IJCNN'02, Honolulu Vol. No. pp. 1154-59 (Eds) 2002
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Increasing PageRank through Reinforcement Learning
A. Agogino and J. Ghosh
Artificial Neural Networks in Engineering Vol. No. pp. 27-32 (Eds) 2002
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Knowledge Enhancement and Reuse with Radial Basis Function Networks
J. Ghosh and A. Nag
Proc. IJCNN'02 Vol. No. pp. (Eds) 2002
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Multiclassifier Systems: Back to the Future
J. Ghosh
Keynote Talk, 3rd Int'l Workshop on Multiple Classifier Systems, Cagliari, June Vol. No. pp. (Eds) 2002
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On scaling up balanced clustering algorithms
A. Banerjee and J. Ghosh
Proc. 2nd SIAM Intl Conf on Data Mining Vol. No. pp. 333-349 (Eds) 2002
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Clickstream Clustering using Weighted Longest Common Subsequences
A. Banerjee and J. Ghosh
Workshop on Web Mining : 1st SIAM Conference on Data Mining Vol. No. pp. 33-40 (Eds) 2001
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Detecting Seasonal Trends and Cluster Motion Visualization for very High Dimensional Transactional Data
G. K. Gupta and J. Ghosh
Proc. First Siam Conf. On Data Mining, (SDM2001) Vol. No. pp. 115-129 (Eds) 2001
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Evaluating the novelty of text-mined rules using lexical knowledge
S. Basu and R. J. Mooney and K. V. Pasupuleti and J. Ghosh
KDD '01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining Vol. No. pp. 233--238 (Eds) 2001
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Relationship-based Visualization of High-dimensional Data Clusters
A. Strehl and J. Ghosh
Proc. Workshop on Visual Data Mining (KDD 2001), San Francisco Vol. No. pp. 90--99 (Eds) 2001
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A Hierarchical Multiclassifier System for Hyperspectral Data Analysis
S. Kumar and J. Ghosh and M. M. Crawford
Multiple Classifier Systems Vol. No. pp. 270-279 J. Kittler and F. Roli(Eds) 2000
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A Scalable Approach to Balanced, High-dimensional Clustering of Market-baskets
A. Strehl and J. Ghosh
Proc. HiPC 2000, Bangalore Vol. 1970 No. pp. 525--536 (Eds) 2000
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Classification of hyperspectral data using best basis feature extraction algorithm
S. Kumar and J. Ghosh and M. M. Crawford
Proc. SPIE Conf. on Applications and Science of Computational Intelligence III, SPIE Proc Vol. No. pp. 362-73 (Eds) 2000
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Clustering Guidance and Quality Evaluation Using Relationship-based Visualization
A. Strehl and J. Ghosh
Proc. ANNIE 2000, St. Louis Vol. 10 No. pp. 483--488 (Eds) 2000
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Concept Based Clustering of Clickstream Data
A. Banerjee and J. Ghosh
Proc. 3rd Intl. Conf. on Information Technology (CIT2000) Vol. No. pp. 145-160 (Eds) 2000
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Impact of Similarity Measures on Web-page Clustering
A. Strehl and J. Ghosh and R. Mooney
Proc. of 17th National Conference on AI: : Workshop on AI for Web Search (AAAI 2000) Vol. No. pp. 58-64 (Eds) 2000
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Multiresolution feature extraction for pairwise classification
S. Kumar and J. Ghosh and M. M. Crawford
Proc. SPIE Conf. on Applications of Artificial Neural Networks in Image Processing V, SPIE Proc. Vol. 3962 No. pp. 60-71 (Eds) 2000
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Probabilistic Principal Surfaces
K. Y. Chang and J. Ghosh
Snowbird Learning Workshop Vol. No. pp. (Eds) 2000
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Robust combining of disparate classifiers through order statistics
K. Tumer and J. Ghosh
INFORMS 2000 Vol. No. pp. (Eds) 2000
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Three-dimensional model-based object recognition and pose estimation using probabilistic principal surfaces
K. Y. Chang and J. Ghosh
Proc. SPIE Conf. on Applications of Artificial Neural Networks in Image Processing V, SPIE Proc. Vol. 3962 No. pp. 192-203 (Eds) 2000
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Value-based Customer Grouping from Large Retail Data-sets
A. Strehl and J. Ghosh
Proc. SPIE Conference on Data Mining and Knowledge Discovery, Orlando Vol. 4057 No. pp. 33--42 (Eds) 2000
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A versatile framework for labelling imagery with a large number of classes
S. Kumar and M. M. Crawford and J. Ghosh
Proc. IJCNN Vol. No. pp. (Eds) 1999
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Distance Based Clustering of Association Rules
G. K. Gupta and A. Strehl and J. Ghosh
Intelligent Engineering Systems Through Artificial Neural Networks (Proceedi ngs of ANNIE 1999) Vol. 9 No. pp. 759--764 (Eds) 1999
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GAMLS: A Generalized Framework for Associative Modular Learning Systems
S. Kumar and J. Ghosh
Proceedings of the Applications and Science of Computational Intelligence II Vol. No. pp. 24--34 (Eds) 1999
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On clustering association rules
A. Strehl and G. K. Gupta and J. Ghosh
Intelligent Engineering Systems Through Artificial Neural Networks {ANNIE} Vol. 8 No. pp. (Eds) 1999
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A Supra-Classifier Architecture for Scalable Knowledge Reuse
K. D. Bollacker and J. Ghosh
Proc. Int'l Conf. on Machine Learning (ICML-98) Vol. No. pp. 64-72 (Eds) 1998
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Flexible resource allocating network for noisy data
A. Nag and J. Ghosh
SPIE Conf. on Applications and Science of Computational Intelligence, SPIE Proc. Vol. 3390 Vol. No. pp. 551-559 (Eds) 1998
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On The Design of Supra-Classifiers for Knowledge Reuse
K. D. Bollacker and J. Ghosh
Proceedings of the 1998 International Joint Conference on Neural Networks Vol. No. pp. 1404-1409 (Eds) 1998
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On the use of localized gating in Mixtures of Experts Networks
V. Ramamurti and J. Ghosh
(invited paper), SPIE Conf. on Applications and Science of Computational Intelligence, SPIE Proc. Vol. 3390 Vol. No. pp. 24-35 (Eds) 1998
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Evaluation and Ordering of Rules Extracted from Feedforward Networks
I. Taha and J. Ghosh
Proc. ICNN'97 Vol. No. pp. 408-413 (Eds) 1997
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A Scalable Method for Classifier Knowledge Reuse
K. Bollacker and J. Ghosh
Proc. ICNN'97 Vol. No. pp. 1474-79 (Eds) 1997
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Regularization and Error Bars for the Mixture of Experts Network
V. Ramamurti and J. Ghosh
Proc. ICNN'97 Vol. No. pp. 221-226 (Eds) 1997
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A Scalable Method for Classifier Knowledge Reuse
K. D. Bollacker and J. Ghosh
Proceedings of the 1997 International Conference on Neural Networks Vol. No. pp. 1474-79 (Eds) 1997
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A Nonparametric Statistical Analysis of Texture Segmentation Performance using a Foveated Image Preprocessing Similar to the Human Retina
T. Kuyel and J. Ghosh and W. S. Geisler
Proc. of IEEE South West Symposium on Image Processing Vol. No. pp. 207-212 (Eds) 1996
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Advances in using Hierarchical Mixture of Experts for Signal Classification
V. Ramamurti and J. Ghosh
Proceedings of ICASSP 96 Vol. No. pp. 3569-3572 (Eds) 1996
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Estimating the Bayes Error Rate Through Classifier Combining
K. Tumer and J. Ghosh
Proc. ICPR Vol. No. pp. IV:695-99 (Eds) 1996
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Flexible Modular Architecture for Changing Environments
V. Ramamurti and J. Ghosh
Intelligent Engineering Systems Through Artificial Neural Networks Vol. 6 No. pp. 5-10 Dagli and Akay and Chen and Fernandez and Ghosh(Eds) 1996
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Linear Feature Extractors Based on Mutual Information
K. D. Bollacker and J. Ghosh
Proceedings of the 13th International Conference on Pattern Recognition Vol. No. pp. IV:720-24 (Eds) 1996
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Mutual Information Feature Extractors for Neural Classifiers
K. D. Bollacker and J. Ghosh
Proceedings of the 1996 International Conference on Neural Networks Vol. No. pp. 1528-1533 (Eds) 1996
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Some Limitations of Linear Memory Architectures for Signal Processing
B. W. Stiles and J. Ghosh
Proceedings of NICROSP-96, IEEE Computer Society Press, Venice, Italy Vol. No. pp. 102-110 (Eds) 1996
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Structural Adaptation in Mixture of Experts
V. Ramamurti and J. Ghosh
Proc. ICPR Vol. No. pp. II:704-708 (Eds) 1996
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Three Techniques for Extracting Rules from Feedforward Networks
I. Taha and J. Ghosh
Intelligent Engineering Systems Through Artificial Neural Networks {ANNIE} Vol. 6 No. pp. (Eds) 1996
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A Habituation based mechanism for encoding temporal information in artificial neural networks
B. Stiles and J. Ghosh
SPIE Conf. on Applications and Science of Artificial Neural Networks Vol. 2492 No. pp. 404-415 (Eds) 1995
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A Habituation-based Neural Network Structure for classifying spatio-temporal patterns
B. W. Stiles and J. Ghosh
Proc. Workshop on Neural Networks for Signal Processing Vol. No. pp. (Eds) 1995
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Boundary variance reduction for improved classification through hybrid networks
K. Tumer and J. Ghosh
Applications and Science of Artificial Neural Networks, Proceedings of the SPIE Vol. 2492 No. pp. 573-584 (Eds) 1995
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A Hybrid Intelligent architecture for refining input characterization and domain knowledge
I. Taha and J. Ghosh
Proc. World Congress on Neural Networks Vol. No. pp. I:31-34 (Eds) 1995
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A Network of Oscillating Neurons for Image Segmentation
S. V. Chakravarthy and V. Ramamurti and J. Ghosh
ANNIE'95 Vol. No. pp. C. Dagli and M. Akay and P. Chen and B. Fernandez and J. Ghosh(Eds) 1995
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Limits to Performance Gains in Combined Neural Classifiers
K. Tumer and J. Ghosh
Artificial Neural Networks in Engineering Vol. 5 No. pp. 419--424 (Eds) 1995
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Scale based clustering using a radial basis function network
S. V. Chakaravathy and J. Ghosh
Proc. IEEE Int'l Conf. on Neural Networks Vol. No. pp. 897-902 (Eds) 1994
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A framework for estimating performance improvements in hybrid pattern classifiers
K. Tumer and J. Ghosh
Proceedings of the World Congress on Neural Networks Vol. No. pp. III:220-225 (Eds) 1994
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Sequence Recognition by Input Anticipation
K. Tumer and J. Ghosh
Proc. IEA/AIE '94 Vol. No. pp. (Eds) 1994
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A Neural Network based Associative Memory for Storing Complex-valued Patterns
S. V. Chakaravathy and J. Ghosh
Proc. 1994 IEEE Int'l Conf. on Systems, Man and Cybernetics Vol. No. pp. 2213-2218 (Eds) 1994
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Studies on a network of complex neurons
S. V. Chakravarthy and J. Ghosh
SPIE Conf. on Applications of Artificial Neural Networks, SPIE Proc. Vol. 1965 Vol. No. pp. 30-43 (Eds) 1993
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A Temporal Memory network with state-dependent thresholds
J. Ghosh and S. Wang
icnn93 Vol. No. pp. I:359-364 (Eds) 1993
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ANN based forecasting of VBR video traffic for dynamic bandwidth allocation in ATM networks
S. Chong and S. Q. Li and J. Ghosh
Proc. ANNIE 93 Vol. No. pp. 275-280 (Eds) 1993
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Robust classification of variable length sonar sequences
J. Ghosh and N. V. Gangishetti
Proc. SPIE Vol 1965 Vol. No. pp. 96-107 (Eds) 1993
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Generalized Deterministic Annealing
S. Acton and A. C. Bovik and J. Ghosh
Proc. World Conf. on Neural Networks Vol. No. pp. III:740-744 (Eds) 1993
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Robust Classification of Variable Length Sonar Sequences
J. Ghosh and N. V. Gangishetti and S. V. Chakravarthy
SPIE Conf. on Applications of Artificial Neural Networks, SPIE Proc. Vol. 1965 Vol. No. pp. 96--107 (Eds) 1993
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Approximation of multivariate functions using ridge polynomials
Y. Shin and J. Ghosh
ijcnn92 Vol. No. pp. II: 380-85 (Eds) 1992
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Evidence Combination Techniques for Robust Classification of Short-Duration Oceanic Signals
J. Ghosh and S. Beck and C. C. Chu
SPIE Conf. on Adaptive and Learning Systems, SPIE Proc. Vol. 1706 Vol. No. pp. 266-276 (Eds) 1992
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Applying Genetic Algorithms to the State Assignment Problem: A case study
J. N. Amaral and J. Ghosh and K. Tumer
SPIE Conf. on Adaptive and Learning Systems, SPIE Proc. Vol. 1706 Vol. No. pp. 2-13 (Eds) 1992
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Noise Sensitivity of Static Neural Classifiers
S. Beck and J. Ghosh
SPIE Conf. on Applications of Artificial Neural Networks SPIE Proc. Vol. 1709 Vol. No. pp. 770-779 (Eds) 1992
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Sequence Learning using recurrent networks: Analysis of internal representations
J. Ghosh and V. Karamcheti
SPIE Conf. on Science of Artificial Neural Networks SPIE Proc. Vol. 1710 Vol. No. pp. 449-460 (Eds) 1992
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Mean field stereo correspondence for natural images
W. Klarquist and S. Acton and J. Ghosh
Proc. SPIE/SPSE Conference on Electronic Imaging Science and Technology Vol. No. pp. (Eds) 1991
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Realization of Boolean Functions Using Binary Pi-sigma Networks
Y. Shin and J. Ghosh
Proc. of Conference on Artificial Neural Networks in Engineering Vol. No. pp. (Eds) 1991
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Aspect Graph Construction using a Neural network of Radial Basis Functions
S. V. Chakravarthy and J. Ghosh and S. Jaikumar
Proc. ANNIE 91 Vol. No. pp. 465-472 (Eds) 1991
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The Pi-Sigma Network: An Efficient Higher-order network for Pattern Classification and function approximation
Y. Shin and J. Ghosh
ijcnn91 Vol. No. pp. I:13-18 (Eds) 1991
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Textured Image Segmentation using Localized Receptive Fields
J. Ghosh and N. Gopal and A. C. Bovik
ijcnn90 Vol. No. pp. II:283-286 (Eds) 1990
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Applications of Non-equilibrium thermodynamics in neural networks
H. J. Chang and J. Ghosh and K. S. Huang and H. T. Huang
43rd Annual Conference of SPIE Vol. No. pp. (Eds) 1990
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Impact of Feature Vector Selection on Static Classification of Acoustic Transient Signals
J. Ghosh and L. Deuser and S. Beck
Government Neural Network Applications Workshop Vol. No. pp. (Eds) 1990
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Multisensor Fusion using Neural Networks
J. Ghosh and R. Holmberg
Proc. Second IEEE Symposium on Parallel and Distributed Computing Vol. No. pp. 812-815 (Eds) 1990
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Critical Issues in Mapping Neural Networks on Message-Passing Multicomputers
J. Ghosh and K. Hwang
15th Annual Symposium on Computer Architecture Vol. No. pp. 3-11 (Eds) 1988
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Optically Connected multiprocessors for simulating artificial neural networks
J. Ghosh and K. Hwang
SPIE Proceedings vol. 882 Vol. No. pp. 2-11 (Eds) 1988
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Book Chapters

Multi-class Boosting with Class Hierarchies
G. Jun and J. Ghosh
Multiple Classifier Systems Vol. No. pp. J. A. Benediktsson and J. Kittler and F. Roli(Eds) LNCS, Springer 2009
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Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis
G. Jun and J. Ghosh
Multiple Classifier Systems Vol. No. pp. J. A. Benediktsson and J. Kittler and F. Roli(Eds) LNCS, Springer 2009
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Clustering with Balancing Constraints
J. Ghosh and A. Banerjee
Constrained Clustering: Advances in Algorithms, Theory, and Applications Vol. No. pp. 171-200 Sugato Basu, Ian Davidson, and Kiri L. Wagstaff (Eds) Chapman & Hall/CRC Press 2008
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Soft Consensus Clustering
K. Punera and J. Ghosh
Advances in Fuzzy Clustering and its Applications Vol. No. pp. J. Oliveira and W. Pedrycz(Eds) Wiley 2007
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Scalable Clustering Methods for Data Mining
J. Ghosh
The Handbook of Data Mining Vol. No. pp. 247-277 Nong Ye(Eds) Lawrence Erlbaum Assoc. 2003
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A Bayesian Pairwise Classifier for Character Recognition
S. Kumar and J. Ghosh and M. M. Crawford
Cognitive and Neural Models for Word Recognition and Document Processing Vol. No. pp. N. Mursheed(Eds) World Scientific Press 2002
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Clustering and Visualization of Retail Market Baskets
J. Ghosh and A. Strehl
Knowledge Discovery in Advanced Information Systems Vol. No. pp. N.R. Pal and L.jain(Eds) Springer AIP Sereis 2002
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Neural-Symbolic Hybrid Systems
J. Ghosh
The Handbook of Applied Computational Intelligence Vol. No. pp. M. L. Padgett, N. B. Karayiannis and L.A. Zadeh(Eds) CRC Press 2002
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An overview of Radial Basis Function Networks
J. Ghosh and A. Nag
Radial Basis Function Networks 2 Vol. No. pp. 1-36 R. J. Howlett and L. C. Jain(Eds) Physica-Verlag 2001
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A Neuro-Symbolic Hybrid Intelligent Architecture with Application
J. Ghosh and I. Taha
Recent Advances in Artificial Neural Networks Vol. No. pp. 1-38 L. Jain and A. M. Fanelli(Eds) CRC Press 2000
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Adaptive and Neural Methods for Image Segmentation
J. Ghosh
Handbook of Image and Video Processing Vol. No. pp. A.C. Bovik(Eds) Academic Press 2000
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Knowledge Transfer Mechanisms for Characterizing Image Datasets
K. D. Bollacker and J. Ghosh
Soft Computing and Image Processing Vol. No. pp. S.K. Pal and A. Ghosh and M.K. Kundu(Eds) Physica-Verlag 2000
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Robust Order Statistics based Ensembles for Distributed Data Mining
K. Tumer and J. Ghosh
Advances in Distributed and Parallel Knowledge Discovery Vol. No. pp. 85-110 Hillol Kargupta and Philip Chan(Eds) AAAI Press 2000
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Robust Order Statistics Based Ensembles for Distributed Data Mining
J. Ghosh and K. Tumer
Advances in Distributed and Parallel Knowledge Discovery Vol. No. pp. 185-210 H. Kargupta and P. Chan(Eds) AAAI Press 2000
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Linear and Order Statistics Combiners for Pattern Classification
K. Tumer and J. Ghosh
Combining Artificial Neural Nets Vol. No. pp. 127-162 A. Sharkey(Eds) Springer-Verlag 1999
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A Macroscopic Model of Neural Oscillations in Ensembles of Inhibitory and Excitatory Neurons
J. Ghosh and H. J. Chang and K. Liano
Neural Networks for Spatiotemporal Processing Vol. No. pp. J. Dayhoff (Eds) Lawrence Ealbaum 1997
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A Comparative Study of Three Paradigms for Object Recognition - Bayesian Statistics, Neural Networks and Expert Systems
J. K. Aggarwal and J. Ghosh and D. Nair and I. Taha
Advances In Image Understanding: A Festschrift for Azriel Rosenfeld Vol. No. pp. 241-262 K. Boyer and N. Ahuja(Eds) IEEE Computer Society Press 1996
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Two Stage Habituation Based Neural Networks for Dynamic Signal Classification
B. W. Stiles and J. Ghosh
Control and Dynamic Systems Vol 75: Computer Techniques and Algorithms in Digital Signal Processing Techniques and Applications Vol. No. pp. 301-337 C. T. Leondes(Eds) Academic Press 1996
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Integration of Neural Classifiers for Passive Sonar Signals
J. Ghosh and K. Tumer and S. Beck and L. Deuser
DSP Theory and Applications Vol. No. pp. C.T. Leondes (Eds) Academic Press 1995
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Classification of Spatio-Temporal Patterns with Applications to Recognition of Sonar Sequences
J. Ghosh and L. Deuser
Neural Representation of Temporal Patterns Vol. No. pp. 221-250 E. Covey, H. Hawkins, T. McMullen and R. Port(Eds) Plenum 1995
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Integration of Neural Classifiers for Passive Sonar Signals
J. Ghosh and K. Tumer and S. Beck and L. Deuser
Control and Dynamic Systems Vol 77: Multidimensional Systems Signal Processing Algorithms and Application Techniques Vol. No. pp. 301-338 C. T. Leondes(Eds) Academic Press 1995
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Vision Based Inspection
J. Ghosh
Artificial Neural Networks for Intelligent Manufacturing Vol. No. pp. 265-298 C. H. Dagli (Eds) Chapman and Hall 1994
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On supporting rule-based image interpretation using a distributed memory multicomputer
C. C. Chu and J. Ghosh and J. K. Aggarwal
Parallel Processing for Artificial Intelligence Vol. No. pp. 21-44 L.N. Kanal, V. Kumar and C. Suttner(Eds) Elsevier/North Holland 1994
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Efficient Training Procedures for Adaptive Kernel Classifiers
S. Chakravarthy and J. Ghosh and L. Deuser and S. Beck
Neural Networks for Signal Processing Vol. No. pp. 21-29 (Eds) IEEE Press 1991
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Processing of Textured Images using neural networks
J. Ghosh and A. C. Bovik
Artificial Neural Networks and Statistical Pattern Recognition Vol. No. pp. 133-154 I.K. Sethi and A. Jain(Eds) Elsevier Science, Amsterdam 1991
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IDEAL

Intelligent Data Exploration and Analysis Laboratory