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    Author information
    First name: Goo
    Last name: Jun
    DBLP: 20/7048
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    Journal article
    Goo Jun, Joydeep Ghosh.
    Semisupervised Learning of Hyperspectral Data With Unknown Land-Cover Classes.
    IEEE T. Geoscience and Remote Sensing 2013, Volume 51 (0) 2013
    Conference paper
    Qing Duan, Eric Yi Liu, Paul L. Auer, Guosheng Zhang, Ethan M. Lange, Goo Jun, Chris Bizon, Shuo Jiao, Steven Buyske, Nora Franceschini, Chris S. Carlson, Li Hsu, Alex P. Reiner, Ulrike Peters, Jeffrey Haessler, Keith Curtis, Christina L. Wassel, Jennifer G. Robinson, Lisa W. Martin, Christopher A. Haiman, Loic Le Marchand, Tara Cox Matise, Lucia A. Hindorff, Dana C. Crawford, Themistocles L. Assimes, Hyun Min Kang, Gerardo Heiss, Rebecca D. Jackson, Charles Kooperberg, James G. Wilson, Gonçalo R. Abecasis, Kari E. North, Deborah A. Nickerson, Leslie A. Lange, Yun Li.
    Imputation of coding variants in African Americans: better performance using data from the exome sequencing project.
    Bioinformatics 2013, Volume 29 (0) 2013
    Conference paper
    Qing Duan, Eric Yi Liu, Paul L. Auer, Guosheng Zhang, Ethan M. Lange, Goo Jun, Chris Bizon, Shuo Jiao, Steven Buyske, Nora Franceschini, Chris S. Carlson, Li Hsu, Alex P. Reiner, Ulrike Peters, Jeffrey Haessler, Keith Curtis, Christina L. Wassel, Jennifer G. Robinson, Lisa W. Martin, Christopher A. Haiman, Loic Le Marchand, Tara Cox Matise, Lucia A. Hindorff, Dana C. Crawford, Themistocles L. Assimes, Hyun Min Kang, Gerardo Heiss, Rebecca D. Jackson, Charles Kooperberg, James G. Wilson, Gonçalo R. Abecasis, Kari E. North, Deborah A. Nickerson, Leslie A. Lange, Yun Li.
    Imputation of coding variants in African Americans: better performance using data from the exome sequencing project.
    Bioinformatics 2013, Volume 29 (0) 2013
    Conference paper
    Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel.
    Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1 2012 (0) 2012
    Journal article
    Ranga Raju Vatsavai, Christopher T. Symons, Varun Chandola, Goo Jun.
    GX-Means: A model-based divide and merge algorithm for geospatial image clustering.
    Procedia CS 2011, Volume 4 (0) 2011
    Journal article
    Goo Jun, Joydeep Ghosh.
    Spatially Adaptive Classification of Land Cover With Remote Sensing Data.
    IEEE T. Geoscience and Remote Sensing 2011, Volume 49 (0) 2011
    Conference paper
    Goo Jun, Joydeep Ghosh.
    Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysis.
    Statistical Analysis and Data Mining 2011, Volume 4 (0) 2011
    Conference paper
    Goo Jun, Joydeep Ghosh.
    Nearest-Manifold Classification with Gaussian Processes.
    20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010 2010 (0) 2010
    Conference paper
    Goo Jun, Joydeep Ghosh.
    Spatially Adaptive Semi-supervised Learning with Gaussian Processes for Hyperspectral Data Analysis.
    Proceedings of the 2010 Conference on Intelligent Data Understanding, CIDU 2010, October 5-6, 2010, Mountain View, California, USA 2010 (0) 2010
    Conference paper
    Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic.
    Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes.
    KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Valencia, Spain, October 25-28, 2010 2010 (0) 2010
    Conference paper
    Goo Jun, Joydeep Ghosh.
    Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes.
    IEEE International Geoscience Remote Sensing Symposium, IGARSS 2009, July 12-17, 2009, University of Cape Town, Cape Town, South Africa, Proceedings 2009 (0) 2009
    Conference paper
    Alexander Liu, Goo Jun, Joydeep Ghosh.
    Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs.
    IEEE International Geoscience Remote Sensing Symposium, IGARSS 2009, July 12-17, 2009, University of Cape Town, Cape Town, South Africa, Proceedings 2009 (0) 2009
    Conference paper
    Goo Jun, Joydeep Ghosh.
    Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis.
    Multiple Classifier Systems, 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009. Proceedings 2009 (0) 2009
    Conference paper
    Goo Jun, Joydeep Ghosh.
    Multi-class Boosting with Class Hierarchies.
    Multiple Classifier Systems, 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009. Proceedings 2009 (0) 2009
    Conference paper
    Alexander Liu, Goo Jun, Joydeep Ghosh.
    A Self-training Approach to Cost Sensitive Uncertainty Sampling.
    Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I 2009 (0) 2009
    Conference paper
    Alexander Liu, Goo Jun, Joydeep Ghosh.
    Spatially Cost-Sensitive Active Learning.
    Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA 2009 (0) 2009
    Conference paper
    Alexander Liu, Goo Jun, Joydeep Ghosh.
    A self-training approach to cost sensitive uncertainty sampling.
    Machine Learning 2009, Volume 76 (0) 2009
    Conference paper
    Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh.
    Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes.
    ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009 2009 (0) 2009
    Conference paper
    Goo Jun, Joydeep Ghosh.
    An Efficient Active Learning Algorithm with Knowledge Transfer for Hyperspectral Data Analysis.
    IEEE International Geoscience Remote Sensing Symposium, IGARSS 2008, July 8-11, 2008, Boston, Massachusetts, USA, Proceedings 2008 (0) 2008
    Conference paper
    Goo Jun, Jake K. Aggarwal, Muhittin Gökmen.
    Tracking and Segmentation of Highway Vehicles in Cluttered and Crowded Scenes.
    9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 7-9 January 2008, Copper Mountain, CO, USA 2008 (0) 2008
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