Faculty Development Program on Soft Computing Approaches to Pattern Recognition

Faculty Development Program on Soft Computing Approaches to Pattern Recognition

21st Jul, 2016 - 23rd Jul, 2016,

Soft Computing (SC) represents a significant paradigm shift in the area of computing, which reflects the fact that the human mind possesses a remarkable ability to store and process information which is pervasively imprecise, uncertain and lacking in categoricity. The principal constituents of Soft Computing (SC) are: Fuzzy logic, Neural Networks, Support Vector Machines, Symbolic data analysis, clustering, similarity and dissimilarity measures. The Faculty Development Program aims at introducing the basics of soft computing techniques and their applications to pattern recognition problems. The experts from academia and industry will participate in sharing their working experiences in using the soft computing methods for solving pattern recognition problems. The experts will also discuss new challenges in soft computing and motivate budding researchers to take up the research in the area of soft computing.

Date:
21st Jul, 2016 - 23rd Jul, 2016
Venue:
REVA University Campus, Bengaluru
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