Goo Jun

According to our database, Goo Jun authored at least 18 papers between 2005 and 2013.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2013

Semisupervised Learning of Hyperspectral Data With Unknown Land-Cover Classes.

Goo Jun, Joydeep Ghosh

IEEE Trans. Geosci. Remote. Sens., 2013

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, 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

Bioinform., 2013

2012

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

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011

Spatially Adaptive Classification of Land Cover With Remote Sensing Data.

Goo Jun, Joydeep Ghosh

IEEE Trans. Geosci. Remote. Sens., 2011

Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysis.

Goo Jun, Joydeep Ghosh

Stat. Anal. Data Min., 2011

GX-Means: A model-based divide and merge algorithm for geospatial image clustering.

Ranga Raju Vatsavai, Christopher T. Symons, Varun Chandola, Goo Jun

Proceedings of the International Conference on Computational Science, 2011

2010

Nearest-Manifold Classification with Gaussian Processes.

Goo Jun, Joydeep Ghosh

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes.

Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic

Proceedings of the KDIR 2010, 2010

2009

A self-training approach to cost sensitive uncertainty sampling.

Alexander Liu, Goo Jun, Joydeep Ghosh

Mach. Learn., 2009

Spatially Cost-Sensitive Active Learning.

Alexander Liu, Goo Jun, Joydeep Ghosh

Proceedings of the SIAM International Conference on Data Mining, 2009

Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis.

Goo Jun, Joydeep Ghosh

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Multi-class Boosting with Class Hierarchies.

Goo Jun, Joydeep Ghosh

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs.

Alexander Liu, Goo Jun, Joydeep Ghosh

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes.

Goo Jun, Joydeep Ghosh

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes.

Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh

Proceedings of the ICDM Workshops 2009, 2009

2008

Tracking and Segmentation of Highway Vehicles in Cluttered and Crowded Scenes.

Goo Jun, J. K. Aggarwal, Muhittin Gökmen

Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

An Efficient Active Learning Algorithm with Knowledge Transfer for Hyperspectral Data Analysis.

Goo Jun, Joydeep Ghosh

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2005

Home media center and media clients for multi-room audio and video applications.

Goo Jun

Proceedings of the 2nd IEEE Consumer Communications and Networking Conference, 2005