Skip Navigation
UT wordmark
College of Liberal Arts wordmark
cps masthead cps masthead
Wilson Geisler, Director SEA 4.328A, Mailcode A8000, Austin, TX 78712 • 512-471-5380

Joydeep Ghosh

Professor

Joydeep Ghosh

Contact

Biography

In the Laboratory for Artificial Neural Systems (LANS), Ghosh's research group is investigating the theory and practice of adaptive multi-learner systems, intelligent data analysis, data mining and web mining. He served as the general chairman for the SPIE/SPSE Conference on Image Processing Architectures, Santa Clara, Feb. 1990, as Conference Co-Chair of Artificial Neural Networks in Engineering (ANNIE)'93 to '96, '99 and '00, and in the program committee of several conferences on neural networks, pattern recognition, data mining and parallel processing. Dr. Ghosh teaches graduate courses on artificial neural networks, data mining, and intelligent computer architectures.

Publications

A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu and D. Modha, "A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation", In Proc. KDD-2004, Seattle, August 2004, pp. 509-514. ACM. PDF

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

A. Banerjee, S. Merugu, I. Dhillon and J. Ghosh, "Clustering with Bregman Divergences", SIAM International Conference on Data Mining (SDM) (2004), Lake Buena Vista, FL, April 2004, pp. 234-245. PDF

S. Kumar, J. Ghosh and M. M. Crawford, "Classification of hyperspectral data using best basis feature extraction algorithm", Proc. SPIE Conf. on Applications and Science of Computational Intelligence IV, SPIE Proc. Vol. 4055, Orlando, April 2000, pp 363-373.

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. PDF

S. Kumar, J. Ghosh and M. M. Crawford, "Multiresolution feature extraction for pairwise classification of hyperspectral data", Proc. SPIE Conf. on Applications of Artificial Neural Networks in Image Processing V, SPIE Proc. Vol. 3962 , San Jose, CA, Jan 2000, pp 60-71.

K.-Y. Chang and J. Ghosh, "Three-dimensional model-based object recognition and pose estimation using probabilistic principal surfaces", Proc. SPIE Conf. on Applications of Artificial Neural Networks in Image Processing V, SPIE Proc. Vol. 3962 , San Jose, CA, Jan 2000, pp. 192-203.

K.-Y. Chang and J. Ghosh, "Probabilistic Principal Surfaces", 1999 IEEE Intl. Conf. on Neural Networks, Washington D.C., Jul 1999.

T. Kuyel, W.S. Geisler and J. Ghosh, "Retinally reconstructed images: Digital images having a resolution match with the human eye", IEEE Trans. Systems, Man and Cybernetics - Part A, 29(2), March 1999, pp.235-243.

T. Kuyel, W.S. Geisler and J. Ghosh, "Retinally reconstructed images: Digital images having a resolution match with the human eye", IEEE Trans. Systems, Man and Cybernetics - Part A, 29(2), March 1999, pp.235-243.

T. Kuyel and J. Ghosh, "Sequential resolution nearest neighbor classifier: image classification using multiple visual fixations", Proc. IASTED Int'l. Conf. on Signal and Image Processing, New Orleans, Dec 4-6, 1997.

J. Eledath, J. Ghosh, and S.V. Chakravarthy, "Image Enhancement using Scale-based clustering properties od the radial basis function network", In Intelligent Engineering Systems Through Artificial Neural Networks , Volume 7, Dagli, Akay, Orsoy, Fernandez and Smith,(Eds.), ASME Press, St. Louis, Nov. 1997, pp. 447-52.

Shishir Shah, J. Eledath, J. Ghosh, and J. K. Aggarwal, "Multisensor Integration for Scene Analysis: An Experiment in Human Form Detection", in Proceedings of the Fourth IEEE International Conference on Image Processing, vol. 2, pp. 199--202, Santa Barbara, CA, October, 1997. Abstract , GZipped Postscript

J. Eledath, J. Ghosh and S. V. Chakravarthy, "Image Enhancement using Scale-Based Clustering properties of the Radial Basis Function Network" Tech. Rept. UT-CVIS-TR-97-006, Center for Vision and Image Sciences, University of Texas, Austin, 1997. PDF

Kurt D. Bollacker and Joydeep Ghosh. "Linear feature extractors based on mutual information", in Proceedings of the 13th International Conference on Pattern Recognition, August 1996, pp. IV:720-24.

J. K. Aggarwal, Joydeep Ghosh, Dinesh Nair and Ismail Taha, "A Comparative Study of Three Paradigms for Object Recognition - Bayesian Statistics, Neural Networks and Expert Systems", Advances In Image Understanding: A Festschrift for Azriel Rosenfeld , Computer Society Press, June 1996, pp. 241-262.

T. Kuyel, J. Ghosh, and W. S. Geisler, "A Nonparametric Statistical Analysis of Texture Segmentation Performance using a Foveated Image Preprocessing Similar to the Human Retina", Proc. of IEEE South West Symposium on Image Processing, April, 1996, pp. 207-212. PDF

B. W. Stiles and J. Ghosh, "Complete Memory Structures for Approximating Non-linear Discrete Time Mappings", Center for Vision and Image Sciences. Technical Report UT-CVIS-TR-96-003, The University of Texas at Austin, 1996.

B. W. Stiles and J. Ghosh, "Nonlinear Memory Functions for Modeling Discrete Time Systems", Center for Vision and Image Sciences. Technical Report UT-CVIS-TR-96-004, The University of Texas at Austin, 1996.

T. Kuyel and J. Ghosh, "A fast space localized computation of the outputs of a Gabor filter bank", Proc. of the IASTED Conference on Signal and Image Processing (SIP-95), Las Vegas, Nov. 20-23, 1995.

T. Kuyel and J. Ghosh, "Multiresolution Nearest Neighbor (MNN) Classifier: A Fast Algorithm for Classification of Images", Proc. of the IASTED Conference on Signal and Image Processing (SIP-95), Las Vegas, Nov. 20-23, 1995.

Courses

Semester         Course        Unique No.         Title

2014 Fall         E E 380L         17325          10-Data Mining
2014 Fall         MIS 382N        04355          Adv Predictive

2014 Spr         BME 383J        14800          7-Data Mining
2014 Spr         EE 380L          17210         10-Data Mining

2014 Spr         MIS 382N        04230         Adv Predictive Analytics

2013 Fall         E E 360C         16900          Algorithms

 

bottom border