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5 Lessons

Pattern Recognition Principles

Focus on this chapter's key concepts. Dive into each topic for a detailed understanding with examples and structured notes.

Bayesian decision theory and discriminant functions

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1 of 5 Lessons

Hidden Markov Models (HMM) and Viterbi algorithm

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2 of 5 Lessons

Non-parametric techniques and Parzen windows

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3 of 5 Lessons

Syntactic and structural pattern recognition

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4 of 5 Lessons

Applications to speech, image, and text classification

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Dimensionality Reduction and Feature Extraction