Introduction to Pattern Recognition and Machine Learning

Introduction to Pattern Recognition and Machine Learning

Fieguth, Paul

Springer Nature Switzerland AG

11/2022

471

Dura

Inglês

9783030959937

15 a 20 dias

904

Descrição não disponível.
Chapter 1. Overview.- Chapter 2. Introduction to Pattern Recognition.- Chapter 3. Learning.- Chapter 4. Representing Patterns.- Chapter 5. Feature Extraction and Selection.- Chapter 6. Distance-Based Classification.- Chapter 7. Inferring Class Models.- Chapter 8. Statistics-Based Classification.- Chapter 9. Classifier Testing and Validation.- Chapter 10. Discriminant-Based Classification.- Chapter 11. Ensemble Classification.- Chapter 12. Model-Free Classification.- Chapter 13. Conclusions and Directions.
Bayesian reasoning;Case studies in pattern classification;Computational learning;Machine learning;Pattern classification;Statistical learning;crowd tracking;face recognition;hand-writing recognition;internet image searching;neighbor-based models;pattern recognition and machine learning;pattern recognition textbook