Syllabus PR Question papers, Answers, important Question Pattern Recognition R13 Regulation B.Tech JNTUK-kakinada Syllabus download

Syllabus ,PR Question papers, Answers, important Question Pattern Recognition, R13 Regulation, B.Tech , JNTUK,Syllabus, download,

Pattern Recognition Syllabus R13 Regulation RT42053D

Unit - I

Introduction: Machine perception, pattern recognition example, pattern recognition systems, the Design cycle, learning and adaptation Bayesian Decision Theory: Introduction, continuous features – two categories classifications, minimum error-rate classification-zero–one loss function, classifiers, discriminant functions, and decision surfaces

Unit - II

Normal density: Univariate and multivariate density, discriminant functions for the normal Density different cases, Bayes decision theory – discrete features, compound Bayesian decision theory and context

Unit - III

Maximum likelihood and Bayesian parameter estimation: Introduction, maximum likelihood Estimation, Bayesian estimation, Bayesian parameter estimation–Gaussian case

Unit - IV

Un-supervised learning and clustering: Introduction, mixture densities and identifiability, maximum likelihood estimates, application to normal mixtures, K-means clustering. Date description and clustering – similarity measures, criteria function for clustering

Unit - V

Pattern recognition using discrete hidden Markov models: Discrete-time Markov process, Extensions to hidden Markov models, three basic problems of HMMs, types of HMMs

Unit - VI

Continuous hidden Markov models : Continuous observation densities, multiple mixtures per state, speech recognition applications.

Text Books

1. Pattern classifications, Richard O. Duda, Peter E. Hart, David G. Stroke. Wiley student edition, Second Edition.
2. Pattern Recognition, An Introduction, V Susheela Devi, M Narsimha Murthy, Universiy Press

Reference Books

1. R.C Gonzalez and R.E. Woods, “Digital Image Processing”, Addison Wesley, 1992.
2. Pattern Recognition and Image Analysis – Earl Gose, Richard John baugh, Steve Jost PHI 2004
3. Fundamentals of speech Recognition, Lawerence Rabiner, Biing – Hwang Juang Pearson education.
4. Pattern Recognition, Sergios Theodoridis, Konstantinos Koutroumbas, Academic Press, Elsevier, 4ed,

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