http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
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.
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.
Sergios Theodoridis and Konstantinos Koutroumbas.
Includes bibliographical references and index.
Reconnaissance des formes (Informatique)
MATLAB introduction to pattern recognition
152754:152909 Elsevier Science & Technology