Joydeep Ghosh - researchr alias

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2011

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011Chid Apté, Joydeep Ghosh, Padhraic Smyth, editors, ACM, 2011.

Cluster ensemblesJoydeep Ghosh, Ayan Acharya. widm, 1(4):305-315, 2011. [doi]

Spatially Adaptive Classification of Land Cover With Remote Sensing DataGoo Jun, Joydeep Ghosh. tgrs, 49(7):2662-2673, 2011. [doi]

Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysisGoo Jun, Joydeep Ghosh. sadm, 4(4):358-371, 2011. [doi]

2010

Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy DatasetsSrivatsava Daruru, Sankari Dhandapani, Gunjan Gupta, Ilian Iliev, Weijia Xu, Paul Navratil, Nena M. Marin, Joydeep Ghosh. icdm 2010: 138-147 [doi]

Parallel Simultaneous Co-clustering and Learning with Map-ReduceMeghana Deodhar, Clinton Jones, Joydeep Ghosh. grc 2010: 149-154 [doi]

SCOAL: A framework for simultaneous co-clustering and learning from complex dataMeghana Deodhar, Joydeep Ghosh. tkdd, 4(3), 2010. [doi]

A Decoupled Approach for Modeling Heterogeneous Dyadic Data with CovariatesMeghana Deodhar, Joydeep Ghosh. grc 2010: 143-148 [doi]

Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization Framework for Large Biological Data SetsGunjan Gupta, Alexander Liu, Joydeep Ghosh. tcbb, 7(2):223-237, 2010. [doi]

Nearest-Manifold Classification with Gaussian ProcessesGoo Jun, Joydeep Ghosh. icpr 2010: 914-917 [doi]

Spatially Adaptive Semi-supervised Learning with Gaussian Processes for Hyperspectral Data AnalysisGoo Jun, Joydeep Ghosh. CIDU 2010: 27-38 [doi]

2009

Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix dataSrivatsava Daruru, Nena M. Marin, Matt Walker, Joydeep Ghosh. kdd 2009: 1115-1124 [doi]

A scalable framework for discovering coherent co-clusters in noisy dataMeghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk Cho, Inderjit S. Dhillon. icml 2009: 31 [doi]

Mining for the most certain predictions from dyadic dataMeghana Deodhar, Joydeep Ghosh. kdd 2009: 249-258 [doi]

Multi-class Boosting with Class HierarchiesGoo Jun, Joydeep Ghosh. mcs 2009: 32-41 [doi]

Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian ProcessesGoo Jun, Ranga Raju Vatsavai, Joydeep Ghosh. icdm 2009: 597-603 [doi]

Spatially Adaptive Classification of Hyperspectral Data with Gaussian ProcessesGoo Jun, Joydeep Ghosh. igarss 2009: 290-293 [doi]

Hybrid Hierarchical Classifiers for Hyperspectral Data AnalysisGoo Jun, Joydeep Ghosh. mcs 2009: 42-51 [doi]

Spatially Cost-Sensitive Active LearningAlexander Liu, Goo Jun, Joydeep Ghosh. sdm 2009: 814-825 [doi]

A Self-training Approach to Cost Sensitive Uncertainty SamplingAlexander Liu, Goo Jun, Joydeep Ghosh. pkdd 2009: 10 [doi]

A self-training approach to cost sensitive uncertainty samplingAlexander Liu, Goo Jun, Joydeep Ghosh. ml, 76(2-3):257-270, 2009. [doi]

Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition CostsAlexander Liu, Goo Jun, Joydeep Ghosh. igarss 2009: 256-259 [doi]

2008

A spam resistant family of concavo-convex ranks for link analysisSreangsu Acharyya, Joydeep Ghosh. CIKM 2008: 1505-1506 [doi]

Hunting for Coherent Co-clusters in High Dimensional and Noisy DatasetsMeghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk Cho, Inderjit S. Dhillon. icdm 2008: 654-663 [doi]

Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing DataMeghana Deodhar, Joydeep Ghosh. icdm 2008: 806-815 [doi]

Probabilistic frameworks for privacy-aware data miningJoydeep Ghosh. isi 2008: [doi]

Bregman bubble clustering: A robust framework for mining dense clustersGunjan Gupta, Joydeep Ghosh. tkdd, 2(2), 2008. [doi]

An Efficient Active Learning Algorithm with Knowledge Transfer for Hyperspectral Data AnalysisGoo Jun, Joydeep Ghosh. igarss 2008: 52-55 [doi]

Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled DataWonkook Kim, Melba M. Crawford, Joydeep Ghosh. igarss 2008: 213-216 [doi]

Analysing and improving clustering based sampling for microprocessor simulationYue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kurian John, Joydeep Ghosh. ijhpcn, 5(4):200-214, 2008. [doi]

Enhanced hierarchical classification via isotonic smoothingKunal Punera, Joydeep Ghosh. WWW 2008: 151-160 [doi]

Consensus-Based Ensembles of Soft ClusteringsKunal Punera, Joydeep Ghosh. aai, 22(7&8):780-810, 2008. [doi]

A Text Retrieval Approach to Content-Based Audio HashingMatthew Riley, Eric Heinen, Joydeep Ghosh. ismir 2008: 295-300 [doi]

Top 10 algorithms in data miningXindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand, Dan Steinberg. kais, 14(1):1-37, 2008. [doi]

2007

Knowledge Based Stacking of Hyperspectral Data for Land Cover ClassificationYangchi Chen, Melba M. Crawford, Joydeep Ghosh. cidm 2007: 316-322 [doi]

A framework for simultaneous co-clustering and learning from complex dataMeghana Deodhar, Joydeep Ghosh. kdd 2007: 250-259 [doi]

Simultaneous Co-clustering and Modeling of Market DataMeghana Deodhar, Joydeep Ghosh. incdm 2007: 73-82

Multiresolution manifold learning for classification of hyperspectral dataWonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh. igarss 2007: 3785-3788 [doi]

Matching and Visualization of Multiple Overlapping Clusterings of Microarray DataChase Krumpelman, Joydeep Ghosh. cibcb 2007: 121-126 [doi]

Generative Oversampling for Mining Imbalanced DatasetsAlexander Liu, Joydeep Ghosh, Cheryl Martin. dmin 2007: 66-72

Consensus Based Ensembles of Soft ClusteringsKunal Punera, Joydeep Ghosh. mlmta 2007: 3-9

2006

Scalable Clustering Algorithms with Balancing ConstraintsArindam Banerjee, Joydeep Ghosh. datamine, 13(3):365-395, 2006. [doi]

Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark SelectionYangchi Chen, Melba M. Crawford, Joydeep Ghosh. igarss 2006: 545-548 [doi]

Consensus Clustering for Detection of Overlapping Clusters in Microarray DataMeghana Deodhar, Joydeep Ghosh. icdm 2006: 104-108 [doi]

Proceedings of the Sixth SIAM International Conference on Data Mining, April 20-22, 2006, Bethesda, MD, USAJoydeep Ghosh, Diane Lambert, David B. Skillicorn, Jaideep Srivastava, editors, SIAM, 2006.

Hierarchical Density Shaving: A clustering and visualization framework for large biological datasetsGunjan Gupta, Alexander Liu, Joydeep Ghosh. icdm 2006: 89-93 [doi]

Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in DataGunjan Gupta, Joydeep Ghosh. icdm 2006: 232-243 [doi]

Automatic Construction of N-ary Tree Based TaxonomiesKunal Punera, Suju Rajan, Joydeep Ghosh. icdm 2006: 75-79 [doi]

An Active Learning Approach to Knowledge Transfer for Hyperspectral Data AnalysisS. Raj, Joydeep Ghosh, Melba M. Crawford. igarss 2006: 541-544 [doi]

2005

Clustering on the Unit Hypersphere using von Mises-Fisher DistributionsArindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra. jmlr, 6:1345-1382, 2005. [doi]

Clustering with Bregman DivergencesArindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh. jmlr, 6:1705-1749, 2005. [doi]

Model-based overlapping clusteringArindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney. kdd 2005: 532-537 [doi]

Probabilistic Principal Surface ClassifierKuiyu Chang, Joydeep Ghosh. fskd 2005: 1236-1244 [doi]

Robust one-class clustering using hybrid global and local searchGunjan Gupta, Joydeep Ghosh. icml 2005: 273-280 [doi]

Analyzing and Improving Clustering Based Sampling for Microprocessor SimulationYue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kurian John, Joydeep Ghosh. sbac-pad 2005: 193-200 [doi]

A privacy-sensitive approach to distributed clusteringSrujana Merugu, Joydeep Ghosh. prl, 26(4):399-410, 2005. [doi]

A distributed learning framework for heterogeneous data sourcesSrujana Merugu, Joydeep Ghosh. kdd 2005: 208-217 [doi]

CLUMP: A Scalable and Robust Framework for Structure DiscoveryKunal Punera, Joydeep Ghosh. icdm 2005: 757-760 [doi]

Automatically learning document taxonomies for hierarchical classificationKunal Punera, Suju Rajan, Joydeep Ghosh. WWW 2005: 1010-1011 [doi]

A Maximum Likelihood Framework for Integrating TaxonomiesSuju Rajan, Kunal Punera, Joydeep Ghosh. AAAI 2005: 856-861

Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral DataSuju Rajan, Joydeep Ghosh. mcs 2005: 417-427 [doi]

Generative model-based document clustering: a comparative studyShi Zhong, Joydeep Ghosh. kais, 8(3):374-384, 2005. [doi]

2004

Outlink estimation for pagerank computation under missing dataSreangsu Acharyya, Joydeep Ghosh. WWW 2004: 486-487 [doi]

Clustering with Bregman DivergencesArindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh. sdm 2004: [doi]

A generalized maximum entropy approach to bregman co-clustering and matrix approximationArindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha. kdd 2004: 509-514 [doi]

An information theoretic analysis of maximum likelihood mixture estimation for exponential familiesArindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu. icml 2004: [doi]

Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth DataJoseph T. Morgan, Jisoo Ham, Melba M. Crawford, Alex Henneguelle, Joydeep Ghosh. ijprai, 18(5):777-799, 2004. [doi]

An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass ProblemsSuju Rajan, Joydeep Ghosh. mcs 2004: 283-292 [doi]

2003

2002

On Scaling Up Balanced Clustering AlgorithmsArindam Banerjee, Joydeep Ghosh. sdm 2002: [doi]

Multiclassifier Systems: Back to the FutureJoydeep Ghosh. mcs 2002: 1-15 [doi]

Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data AnalysisShailesh Kumar, Joydeep Ghosh, Melba M. Crawford. paa, 5(2):210-220, 2002. [doi]

Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth DataJoseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy Neuenschwander. mcs 2002: 189-200 [doi]

Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple PartitionsAlexander Strehl, Joydeep Ghosh. jmlr, 3:583-617, 2002. [doi]

Cluster Ensembles A Knowledge Reuse Framework for Combining PartitioningsAlexander Strehl, Joydeep Ghosh. AAAI 2002: 93

Robust Combining of Disparate Classifiers through Order StatisticsKagan Tumer, Joydeep Ghosh. paa, 5(2):189-200, 2002. [doi]

2001

Evaluating the novelty of text-mined rules using lexical knowledgeSugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh. kdd 2001: 233-238 [doi]

A Unified Model for Probabilistic Principal SurfacesKuiyu Chang, Joydeep Ghosh. pami, 23(1):22-41, 2001. [doi]

2000

The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional DataA. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa. ijcnn 2000: 47-52 [doi]

Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic. sigkdd, 2(2):108-109, 2000. [doi]

A Hierarchical Multiclassifier System for Hyperspectral Data AnalysisShailesh Kumar, Joydeep Ghosh, Melba M. Crawford. mcs 2000: 270-279 [doi]

Two-Dimensional Phase Unwrapping Using Neural NetworksWade Schwartzkopf, Thomas E. Milner, Joydeep Ghosh, Brian L. Evans, Alan C. Bovik. ssiai 2000: 274-277 [doi]

A Scalable Approach to Balanced, High-Dimensional Clustering of Market-BasketsAlexander Strehl, Joydeep Ghosh. hipc 2000: 525-536 [doi]

1999

Effective supra-classifiers for knowledge base constructionKurt D. Bollacker, Joydeep Ghosh. prl, 20(11-13):1347-1352, 1999. [doi]

Fast image classification using a sequence of visual fixationsTurker Kuyel, Wilson S. Geisler, Joydeep Ghosh. tsmc, 29(2):304-308, 1999.

Retinally reconstructed images: digital images having a resolution match with the human eyeT. Kyuel, Wilson S. Geisler, Joydeep Ghosh. tsmc, 29(2):235-243, 1999.

Symbolic Interpretation of Artificial Neural NetworksIsmail A. Taha, Joydeep Ghosh. tkde, 11(3):448-463, 1999. [doi]

1998

A Supra-Classifier Architecture for Scalable Knowledge ReuseKurt D. Bollacker, Joydeep Ghosh. icml 1998: 64-72

1997

Knowledge reuse in multiple classifier systemsKurt D. Bollacker, Joydeep Ghosh. prl, 18(11-13):1385-1390, 1997. [doi]

A mixture-of-experts framework for adaptive Kalman filteringWassim S. Chaer, Robert H. Bishop, Joydeep Ghosh. tsmc, 27(3):452-464, 1997.

Function Emulation Using Radial Basis Function NetworksSrinivasa V. Chakravarthy, Joydeep Ghosh. NN, 10(3):459-478, 1997. [doi]

On Hebbian-like adaptation in heart muscle: a proposal for cardiac memory Srinivasa V. Chakravarthy, Joydeep Ghosh. bc, 76(3):207-215, 1997. [doi]

Multisensor Integration for Scene Classifiction: An Experiment in Human Form DetectionShishir Shah, J. K. Aggarwal, Jayakrishnan Eledath, Joydeep Ghosh. icip 1997: 199 [doi]

Habituation based neural networks for spatio-temporal classificationBryan W. Stiles, Joydeep Ghosh. ijon, 15(3-4):273-307, 1997. [doi]

1996

Error Correlation and Error Reduction in Ensemble ClassifiersKagan Tumer, Joydeep Ghosh. connection, 8(3):385-404, 1996. [doi]

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