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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

Problem statement and uses, Branch and bound algorithm, Sequential forward and backward selection

Cauchy Schwartz inequality, Feature selection criteria function

Feature Extraction: principles

Human visual recognition system

Recognition methods

Detection/Segmentation methods

Context and scenes, Importance and saliency, Large-scale search and recognition

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