AL-603 (C) Pattern Recognition Notes
5 notes for Pattern Recognition, unit by unit.
Notes for AL-603 (C)
- Unit 5 · Short notes Recent Advancements in Pattern Recognition Comparison of classifier performance · Basics of statistics for pattern recognition · Covariance and its properties · Data condensation techniques · Feature clustering · Data visualization
- Unit 1 · Short notes Introduction and Mathematical Preliminaries Principles of pattern recognition · Uses of pattern recognition · Mathematics for pattern recognition · Classification and Bayesian rules · Clustering vs classification · Basics of linear algebra and vector spaces
- Unit 2 · Short notes Pattern Recognition Basics Bayesian decision theory · Classifiers · Discriminant functions · Decision surfaces · Parameter estimation methods · Hidden Markov models
- Unit 3 · Short notes Feature Selection and Extraction Problem statement and uses of feature selection · Branch‑and‑bound algorithm for feature selection · Sequential forward selection · Sequential backward selection · Cauchy‑Schwarz inequality in feature selection · Probabilistic separability based feature selection criteria
- Unit 4 · Short notes Visual Recognition Human visual recognition system · Low‑level modelling (e.g., feature extraction) · Mid‑level abstraction (e.g., segmentation) · High‑level reasoning (e.g., scene understanding) · Detection and segmentation methods · Context and scene analysis
More for AL-603 (C)
- Syllabus Official RGPV syllabus Free
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- AL-604 (B) Information Security & Management
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