Pattern Recognition and String Matching

0410987 - UTIA-B 20020201 RIV NL eng M - Část monografie knihy
Pudil, Pavel - Novovičová, Jana - Somol, Petr
Recent feature selection methods in statistical pattern recognition.
Dordrecht: Kluwer, 2003. ISBN 1-4020-0953-4. In: Pattern Recognition and String Matching. - (Chen, D.; Cheng, X.), s. 1-51
Grant CEP: GA ČR GA402/01/0981; GA AV ČR KSK1019101
Výzkumný záměr: CEZ:AV0Z1075907
Klíčová slova: pattern recognition * feature selection * search methods
Kód oboru RIV: BC - Teorie a systémy řízení

The chapter is devoted to the problem of feature selection in statistical pattern recognition. A number of feature subset search strategies is reviewed, analyzed and compared. New algorithms are described (Fast Branch and Bound, Branch and Bound Algorithm with Partial Prediction, Floating Search, Adaptive Floating Search). Two feature selection methods based on approximating the unknown class conditional densities by finite mixtures of the factorized densities are presented.
Trvalý link: http://hdl.handle.net/11104/0131074