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1. Handbook on Soft Computing for Video Surveillance

   Edited by Sankar K. Pal, Alfredo Petrosino, Lucia Maddalena

   Series: Chapman & Hall/CRC Cryptography and Network Security Series

   Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing...

   Published January 24th 2012 by Chapman and Hall/CRC
2. Rough Fuzzy Image Analysis

   Foundations and Methodologies

   Edited by Sankar K. Pal, James F. Peters

   Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

   Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image...

   Published May 3rd 2010 by CRC Press
3. Pattern Recognition Algorithms for Data Mining

   By Sankar K. Pal, Pabitra Mitra

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and...

   Published May 26th 2004 by Chapman and Hall/CRC
4. Genetic Algorithms for Pattern Recognition

   By Sankar K. Pal, Paul P. Wang

   Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for Pattern...

   Published May 14th 1996 by CRC Press