Introduction to Pattern Recognition and Machine Learning
portes grátis
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.
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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
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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