Goo Jun

发表

Multi-class Boosting with Class Hierarchies

Goo Jun, Joydeep Ghosh, Joydeep Ghosh, 2009, MCS.

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

Goo Jun, Joydeep Ghosh, Joydeep Ghosh, 2011, Stat. Anal. Data Min..

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

Goo Jun, Joydeep Ghosh, Ranga Raju Vatsavai, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Non-crossover gene conversions show strong GC bias and unexpected clustering in humans

Goo Jun, Thomas D. Dyer, Amy L. Williams, 2014, bioRxiv.

Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning

Itamar Arel, Goo Jun, Ranga Raju Vatsavai, 2012, 2012 11th International Conference on Machine Learning and Applications.

Semisupervised Learning of Hyperspectral Data With Unknown Land-Cover Classes

Goo Jun, Joydeep Ghosh, Joydeep Ghosh, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Spatially adaptive classification of hyperspectral data with Gaussian processes

Goo Jun, Joydeep Ghosh, Joydeep Ghosh, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Spatially Adaptive Classification of Land Cover With Remote Sensing Data

Goo Jun, Joydeep Ghosh, Joydeep Ghosh, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Parliament2: Fast Structural Variant Calling Using Optimized Combinations of Callers

Goo Jun, Eric Boerwinkle, Samantha Zarate, 2018, bioRxiv.

Tracking and Segmentation of Highway Vehicles in Cluttered and Crowded Scenes

Jake K. Aggarwal, Goo Jun, Muhittin Gökmen, 2008, 2008 IEEE Workshop on Applications of Computer Vision.

Nearest-Manifold Classification with Gaussian Processes

Goo Jun, Joydeep Ghosh, Joydeep Ghosh, 2010, 2010 20th International Conference on Pattern Recognition.

A Self-training Approach to Cost Sensitive Uncertainty Sampling

Goo Jun, Joydeep Ghosh, Alexander Liu, 2009, ECML/PKDD.

Active learning of hyperspectral data with spatially dependent label acquisition costs

Goo Jun, Joydeep Ghosh, Alexander Liu, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Preface to the International Workshop on Spatial and Spatio-Temporal Data Mining

Dimitrios Gunopulos, Eamonn J. Keogh, Alfredo Cuzzocrea, 2011, IEEE ICDM 2011.

Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis

Goo Jun, Joydeep Ghosh, Joydeep Ghosh, 2009, MCS.

HyperConv: spatio-spectral classication of hyperspectral images with deep convolutional neural networks

Goo Jun, Seyoon Ko, Joong-Ho Won, 2016 .

Spatially Cost-Sensitive Active Learning

Goo Jun, Joydeep Ghosh, Alexander Liu, 2009, SDM.

Imputation of coding variants in African Americans: better performance using data from the exome sequencing project

Yun Li, Goo Jun, Dana C. Crawford, 2013, Bioinform..

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

Zoran Obradovic, Goo Jun, Joydeep Ghosh, 2010, KDIR.

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

Goo Jun, 2005, Second IEEE Consumer Communications and Networking Conference, 2005. CCNC. 2005.

Transfer learning for classification of spatially varying data

Goo Jun, 2010 .

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

Goo Jun, Joydeep Ghosh, Joydeep Ghosh, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

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

Goo Jun, Varun Chandola, Ranga Raju Vatsavai, 2011, ICCS.

A self-training approach to cost sensitive uncertainty sampling

Goo Jun, Joydeep Ghosh, Alexander Liu, 2009, Machine Learning.