IDEAL

Intelligent Data Exploration and Analysis Laboratory

Dept. of Electrical & Computer Engineering, Univ of Texas, Austin
Professor Joydeep Ghosh , Director

Please read the Copyright Notice before downloading the papers

The yearly listings are the most extensive: and contain full citations
[2008] [2007] [2006] [2005] [2004] [2003] [2002] [2000-2001] [1995-1999] [before 1995]

Some of these papers can also be located by topic.

Journal Papers

  1. K. Punera and J. Ghosh, "Soft Consensus Clustering", in Advances in Fuzzy Clustering and its Applications, J. Oliveira and W. Pedrycz, (eds), Wiley, March 2007, pp. 69-92.
  2. A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu, D. Modha, "A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation," in Jl. of Machine Learning Research (JMLR), Vol 78, pp. 1919-1986, 2007 pdf
    (KDD 2004 version pp. 509-514. pdf ps.gz ps )

  3. A. Banerjee and J. Ghosh, "Scalable Clustering Algorithms with Balancing Constraints", Data Mining and Knowledge Discovery (2006)pdf 

  4. S. Rajan, J. Ghosh and M. M. Crawford, "Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data", IEEE Trans. On Geoscience and Remote Sensing, 44(11), Nov 2006, pp. 3408-3417. pdf 

  5. Best Research  Award across all UT Departments: Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh,"Clustering with Bregman Divergences", Journal of Machine Learning Research, 6(Oct):1705-1749, 2005. abs pdf 

  6. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, and Suvrit Sra, "Clustering on the Unit Hypersphere using von Mises-Fisher Distributions", Journal of Machine Learning Research 6(Sep):1345--1382, 2005 abstract  pdf 

  7. Shi Zhong and Joydeep Ghosh, "Generative model-based document clustering: a comparative study", Knowledge and Information Systems, Feb 2005 pdf 

  8. A. Banerjee and J. Ghosh, "Frequency-Sensitive Competitive Learning for Scalable, Balanced Clustering on High-dimensional Hyperspheres", IEEE Trans. Neural Networks, 15(3), May 2004, pp. 702-719 pdf 

  9. S. Zhong and J. Ghosh, " A Unified Framework for Model-based Clustering", Journal of Machine Learning Research, 2003, pg: 1001-1037 abstract, pdf , ps.gz , ps 

  10. A. Strehl and J. Ghosh, “Relationship-based Clustering and Visualization for High-dimensional data mining? INFORMS Jl. Of  Computing, Spl. Issue on Web Mining, (A. Tuzhilin and L. Rashid, guest Eds.), 15(2): 208-230, Spring 2003. abstract, gzipped ps 

  11. Alexander Strehl and Joydeep Ghosh. Cluster ensembles - a knowledge reuse framework for combining multiple partititons. Journal on Machine Learning Research (JMLR), 3:583-617, December 2002. bib, abstract, pdf, gzipped ps

  12. S.Kumar, J. Ghosh and M.M. Crawford, "Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis", in Pattern Analysis and Applications, spl. Issue on Fusion of Multiple Classifiers Vol. 5, No. 2, 2002, pp. 210-220. abstract  pdf

  13. K. Chang and J. Ghosh, "A Unified Model for Probabilistic Principal Surfaces", IEEE Trans. PAMI, 23(1), Jan 2001, pp. 22-41. abstract, gzipped ps

  14. S. Kumar, J. Ghosh and M. M. Crawford, "Best Basis Feature Extraction Algorithms for Classification of Hyperspectral Sata", IEEE Trans. Geoscience and Remote Sensing, Spl. Issue on Analysis of Hyperspectral Data, 39(7), July 2001, pp. 1368-79. abstract, pdf

  15. V. Ramamurti and J. Ghosh, "Structurally Adaptive Modular Networks for Non-Stationary Environments", IEEE Trans. Neural Networks, 10(1), Jan 1999, pp. 152-60. abstract , gzipped ps

  16. W.Chaer, R. Bishop and J. Ghosh, "Hierarchical Adaptive Kalman Filtering for Interplanetary Orbit Determination", IEEE Trans. on Aerospace and Electronic Systems , Vol. 34, No. 3, Aug. 98, 883-896.

  17. K. Bollacker and J. Ghosh, "Knowledge Reuse in multiclassifier systems", Pattern Recognition Letters, Nov 1997, pp. 1385-90. gzipped ps

  18. Kagan Tumer and Joydeep Ghosh, "Error Correlation and Error Reduction in Ensemble Classifiers", Connection Science, Special issue on combining artificial neural networks: ensemble approaches, volume 8, numbers 3 & 4, pp 385-404, December 1996. abstract , compressed ps

  19. I. Taha and J. Ghosh, "Symbolic Interpretation of Artificial Neural Networks", IEEE Trans. Knowledge and Data Eng., May/June 99, 448-463. abstract , gzipped ps

  20. Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh and Rebecca Richards-Kortum, "Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks", IEEE transactions of Biomedical Engineering, 45(8), Aug. 1998, pp. 953-961. compressed ps

  21. I. Taha and J. Ghosh, "A Hybrid Intelligent Architecture and Its Application to Water Reservoir Control", International Journal of Smart Engineering Systems,, Vol. 1, No. 1, 1997, pp. 59-75. abstract , compressed ps

  22. B. W. Stiles, I. W. Sandberg and J. Ghosh, "Complete Memory Structures for Approximating Nonlinear Discrete Time Mappings", IEEE Trans. on Neural Networks, Vol.8, Nov 1997, pp. 1397-1409. abstract , compressed ps

  23. B. W. Stiles and J. Ghosh, "A Habituation Based Neural Network for Spatio-Temporal Classification", Neurocomputing , Spl. issue on recurrent networks, 15 (3,4), July 1997, pp. 273-307. abstract , compressed ps

  24. S. V. Chakravarthy and J. Ghosh, "Function Emulation using Radial Basis Function Networks", Neural Networks, 10(3), April 1997, pp. 459-78. abstract , compressed ps

  25. S. V. Chakravarthy and J. Ghosh, "Scale-based Clustering Using the Radial Basis Function Network", IEEE Trans. on Neural Networks, Sept 1996, pp. 1250-61. abstract , compressed ps

  26. Y. Shin and J. Ghosh, "Ridge Polynomial Networks", IEEE Trans. Neural Networks, 6(2), May 1995, pp.610-622. abstract , compressed ps

 

Conference Papers

  1. Y. Chen, M. Crawford and J. Ghosh, "Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification", in Proc. 2007 IEEE Symposium on Computational Intelligence and Data Mining, April 2007, pp. 316-322. pdf
  2. M. Deodhar and J. Ghosh, "Simultaneous Co-clustering and modeling of market data," in Data Mining for Marketing Workshop, ICDM/07, Leipzig, July 2007, pp. 73-82. pdf
  3. W. Kim, Y Chen, M. Crawford, J C. Tilton, and Joydeep Ghosh, "Multiresolution Manifold Learning for Classification of Hyperspectral Data," in in 2007 International Geosci. and Sens. Symposium, Barcelona, July 2007. pdf
  4. M. Deodhar and J. Ghosh, "A Framework for Simultaneous Co-clustering and Learning from Complex Data," in Proc. KDD '07, San Jose, Aug 2007, pp. 250-259

  5. Best Research Paper (Runners-up) G. Gupta and J. Ghosh,"Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data", ICDM '06, pp. 232-243. pdf 

  6. Srujana Merugu and Joydeep Ghosh,"A distributed learning framework for heterogeneous data sources", KDD '05, pp: 208 - 217 pdf 

  7. Suju Rajan, Kunal Punera and Joydeep Ghosh, "A Maximum Likelihood Framework for Integrating Taxonomies",  AAAI-05, pp. 856-861 pdf 

  8. A. Banerjee, C. Krumpelman, S. Basu, R. Mooney, and J. Ghosh, "Model-based Overlapping Clustering", KDD '05. pp. 532-537 pdf 

  9. S. Rajan and J. Ghosh , "An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems", MCS '04. pdf , ps.gz , ps 

  10. S. Merugu and J. Ghosh, "Privacy-preserving distributed clustering using generative models", ICDM '03, pp. 211-218. pdf , ps.gz , ps 

  11. S.Acharyya and J.Ghosh, "A Maximum Entropy Framework for Link Analysis on Directed Graphs", in LinkKDD2003, pp 3-13.  ps

  12. Perspective/Keynote: J. Ghosh, "Multiclassifier Systems: Back to the Future", MCS '02, pp. 1-15. abstract , Keynote Talk at MCS2002 (PowerPoint), pdf

  13. Joydeep Ghosh, Alexander Strehl, and Srujana Merugu. "A consensus framework for integrating distributed clusterings under limited knowledge sharing", NGDM '02, pages 99-108, bib, abstract, pdf, gzipped ps 

  14. A.Strehl, J. Ghosh and R. Mooney, "Impact of Similarity Measures on Web-page Clustering", in Proc. AAAI workshop on AI for Web Search, 2000, pp. 58-64.abstract , gzipped ps, pdf

  15. S. Kumar, J. Ghosh, "GAMLS: A generalized framework for associative modular learning systems", Proc. SPIE Conf. on Applications and Science of Computational Intelligence II, SPIE Proc. Vol. 3722, Orlando, April 1999, pp. 24-35. abstract , gzipped ps

 

Book Chapters

  1. K Punera and J Ghosh, "Soft Consensus Clustering", in Advances in Fuzzy Clustering and its Applications, J. Oliveira and W. Pedrycz, (eds), Wiley, March 2007, pdf 

  2. J. Ghosh, "Scalable Clustering Methods for Data Mining", in Handbook of Data Mining, Chapter 10, Nong Ye (Ed), Lawrence Ealbaum Assoc, 2003, pp. 247-277. pdf 

  3. K. Bollacker and J. Ghosh, "Knowledge Transfer Mechanisms for Characterizing Image Datasets", in Soft Computing and Image Processing, S.K. Pal, A. Ghosh and M.K. Kundu (eds.), Physica-Verlag, Heidelberg, 2000. abstract, compressed ps

  4. J.Ghosh and K. Tumer, "Robust Order Statistics Based Ensembles for Distributed Data Mining" in Advances in Distributed and Parallel Knowledge Discovery, H. Kargupta and P. Chan (Eds), AAAI Press, 2000, pp. 185-210. abstract, gzipped ps

  5. J.Ghosh, "Adaptive and Neural Methods for Image Segmentation" in Handbook of Image and Video Processing, A. C. Bovik (ed), Academic Press, 2000, pp. 401-414. abstract , gzipped ps

  6. K. Tumer and J. Ghosh, "Linear and Order Statistics Combiners for Pattern Classification", in Combining Artificial Neural Nets, A. Sharkey (Ed.), Springer-Verlag, 1999, pp. 127-162. abstract , gzipped ps