Related Publications

Journals

1. S. Sarkar and P. Soundararajan, “Supervised Learning of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(5): 504--525, 2000.
2. P. Soundararajan and S. Sarkar, “An In-Depth Study of Graph Partitioning Measures for Perceptual Organization”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(6): 642-660, 2003.
3. P. Soundararajan and S. Sarkar, “Empirical Evaluation of Grouping by Graph Partitioning: Average, Normalized and Minimum Cuts”, (Submitted to Journal of Image and Vision Computing), Apr 2002.

Conferences

1. V. Manohar, P. Soundararajan, H. Raju, D. Goldgof, R. Kasturi and J. Garofolo, “Performance Evaluation of Object Detection and Tracking”, LNCS 3852, 151-161, Jan 2006.
2. P. Soundararajan and S. Sarkar, “Analysis of MinCut, Average Cut and Normalized Cut Measures" (Extended Abstract), 3rd Workshop on Perceptual Organization in Computer Vision, June 2001.
3. P. Soundararajan and S. Sarkar, “Investigation of Measures for Grouping by Graph Partitioning”, Proceedings of the International Conference on Computer Vision and Pattern Recognition, Dec 2001.
4. P. Soundararajan and S. Sarkar, “Empirical Evaluation of Graph Partitioning Measures for Perceptual Organization”, Workshop on Empirical Evaluation Methods in Computer Vision, Dec 2001.