Introduction to pattern recognition : a MATLAB approach /
An accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London :
Academic,
�2010.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Classifiers based on Bayes decision theory
- Classifiers based on cost function optimization
- Data transformation : feature generation and dimensionality reduction
- Feature selection
- Template matching
- Hidden Markov models
- Clustering
- Appendix.