Course Name: CS6690 : Pattern Recognition

Description: Basics of pattern recognition, statistical and syntactic pattern recognition? Bayes? decision theory, maximum likelihood estimation, nonparametric techniques, linear discriminant analysis? nonmetric methods? Algorithm independent machine learning? unsupervised learning and clustering? statistical learning theory? Introduction to formal languages? string languages for pattern description? stochastic languages for syntactic pattern recognition? cluster analysis for syntactic patterns? Applications: Data mining, web searching, handwriting recognition, multimedia data retrieval, speech recognition, network traffic analysis.

Slot: E

RoomNo: CS26

Instructor: Hema A Murthy

Period: JUL-NOV 2013

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