Essentials of Pattern Recognition
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portes grátis
Essentials of Pattern Recognition
An Accessible Approach
Wu, Jianxin
Cambridge University Press
11/2020
398
Dura
Inglês
9781108483469
15 a 20 dias
960
Descrição não disponível.
Preface; Notation; Part I. Introduction and Overview: 1. Introduction; 2. Mathematical background; 3. Overview of a pattern recognition system; 4. Evaluation; Part II. Domain-Independent Feature Extraction: 5. Principal component analysis; 6. Fisher's linear discriminant; Part III. Classifiers and Tools: 7. Support vector machines; 8. Probabilistic methods; 9. Distance metrics and data transformations; 10. Information theory and decision trees; Part IV. Handling Diverse Data Formats: 11. Sparse and misaligned data; 12. Hidden Markov model; Part V. Advanced Topics: 13. The normal distribution; 14. The basic idea behind expectation-maximization; 15. Convolutional neural networks; References; Index.
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Preface; Notation; Part I. Introduction and Overview: 1. Introduction; 2. Mathematical background; 3. Overview of a pattern recognition system; 4. Evaluation; Part II. Domain-Independent Feature Extraction: 5. Principal component analysis; 6. Fisher's linear discriminant; Part III. Classifiers and Tools: 7. Support vector machines; 8. Probabilistic methods; 9. Distance metrics and data transformations; 10. Information theory and decision trees; Part IV. Handling Diverse Data Formats: 11. Sparse and misaligned data; 12. Hidden Markov model; Part V. Advanced Topics: 13. The normal distribution; 14. The basic idea behind expectation-maximization; 15. Convolutional neural networks; References; Index.
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