IDEAL Publications

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Publications by Year: the most extensive listings.

[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

IDEAL Technical Reports

Selected Publications

Journal Papers

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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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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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
ieeesmc 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
ieeenn 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 {K}alman filtering
W. S. Chaer and R. H. Bishop and J. Ghosh
ieeesmc 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
ieeenn 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

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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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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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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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 {B}regman 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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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 comparative study of generative models for document clustering
S. Zhong and J. Ghosh
Proc. of the Workshop on Clustering High Dimensional Data : 3rd SIAM Conference on Data Mining (SDM) 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 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 ({I}nvited paper)
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.

IDEAL

Intelligent Data Exploration and Analysis Laboratory