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Recent Advancements in DIP
Syllabus - Digital Image Processing (AD 603 (B))
Principles of pattern recognition
Basics of linear algebra and vector spaces
Eigen values, eigen vectors, Rank of matrix and SVD
Bayesian decision theory, Classifiers, Discriminant functions, Decision surfaces
Parameter estimation methods, Hidden Markov models
Dimension reduction methods, Fisher discriminant analysis, Principal component analysis
Non-parametric techniques for density estimation, nonmetric methods for pattern classification, unsupervised learning
Algorithms for clustering: Kmeans, Hierarchical and other methods
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