Home media center and media clients for multi-room audio and video applications. - Goo Jun (CCNC, 2005)

An Efficient Active Learning Algorithm with Knowledge Transfer for Hyperspectral Data Analysis. - Goo Jun; Joydeep Ghosh (IGARSS (1), 2008)

Tracking and Segmentation of Highway Vehicles in Cluttered and Crowded Scenes. - Goo Jun; J. K. Aggarwal; Muhittin Gökmen (WACV, 2008)

Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. - Goo Jun; Ranga Raju Vatsavai; Joydeep Ghosh (ICDM Workshops, 2009)

Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes. - Goo Jun; Joydeep Ghosh (IGARSS (2), 2009)

Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs. - Alexander Liu 001; Goo Jun; Joydeep Ghosh (IGARSS (5), 2009)

Multi-class Boosting with Class Hierarchies. - Goo Jun; Joydeep Ghosh (MCS, 2009)

Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis. - Goo Jun; Joydeep Ghosh (MCS, 2009)

Spatially Cost-Sensitive Active Learning. - Alexander Liu 001; Goo Jun; Joydeep Ghosh (SDM, 2009)

A self-training approach to cost sensitive uncertainty sampling. - Alexander Liu 001; Goo Jun; Joydeep Ghosh (Mach. Learn., 2009)

Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes. - Goo Jun; Joydeep Ghosh; Vladan Radosavljevic; Zoran Obradovic (KDIR, 2010)

Nearest-Manifold Classification with Gaussian Processes. - Goo Jun; Joydeep Ghosh (ICPR, 2010)

GX-Means: A model-based divide and merge algorithm for geospatial image clustering. - Ranga Raju Vatsavai; Christopher T. Symons; Varun Chandola; Goo Jun (ICCS, 2011)

Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysis. - Goo Jun; Joydeep Ghosh (Stat. Anal. Data Min., 2011)

Spatially Adaptive Classification of Land Cover With Remote Sensing Data. - Goo Jun; Joydeep Ghosh (IEEE Trans. Geosci. Remote. Sens., 2011)

Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. - Christopher T. Symons; Ranga Raju Vatsavai; Goo Jun; Itamar Arel (ICMLA (1), 2012)

Imputation of coding variants in African Americans: better performance using data from the exome sequencing project. - 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; et al. (Bioinform., 2013)

Semisupervised Learning of Hyperspectral Data With Unknown Land-Cover Classes. - Goo Jun; Joydeep Ghosh (IEEE Trans. Geosci. Remote. Sens., 2013)