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Goo Jun
e-mail: 'g' 'jun' (at) 'ece' (dot) 'utexas' (dot) 'edu'
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Research Interest
All interesting problems in machine learning and data mining, including:
- Active Learning
- Transfer Learning
- Multi-class Classification Problems
- Geospatial Data Mining with Hyperspectral and GIS Data
Publications
Conference Papers - accepted/published
- Goo Jun and Joydeep Ghosh, "Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes," 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS09)
- Alex Liu, Goo Jun, and Joydeep Ghosh, "Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs", 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS09)
- Goo Jun and Joydeep Ghosh, "Multi-class Boosting with Class Hierarchies," 8th International Workshop on Multiple Classifier Systems (MCS 2009)
- Goo Jun and Joydeep Ghosh, "Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis," 8th International Workshop on Multiple Classifier Systems (MCS 2009)
- Alex Liu, Goo Jun, and Joydeep Ghosh, "Spatially Cost-sensitive Active Learning," 2009 SIAM International Conference on Data Mining
- Alex Liu, Goo Jun, and Joydeep Ghosh, "Active Learning with Spatially Sensitive Labeling Costs," NIPS 2008 Workshop on Cost Sensitive Learning
- Goo Jun and Joydeep Ghosh, "An Efficient Active Learning Algorithm with Knowledge Transfer fo
r Hyperspectral Remote Sensing Data," 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS08) (invited)
- Goo Jun, J. K. Aggarwal, and Muhittin Gokmen, "Tracking and Segmentation of Highway Vehicles in Cluttered and Crowded Scenes," IEEE 2008 Workshop on Applications of Computer Vision (WACV
2008)
- Goo Jun, "Home Media Center and Media Clients for Multi-room Audio and Video Applications," IEEE CCNC 2005
Links