Advances in statistical feature selection

0410659 - UTIA-B 20010128 RIV DE eng C - Conference Paper (international conference)
Kittler, J. - Pudil, Pavel - Somol, Petr
Advances in statistical feature selection.
Heidelberg: Springer, 2001. Lecture Notes in Computer Science., 2013. ISBN 3-540-41767-2. In: Advances in Pattern Recognition - ICAPR 2001. Proceedings. - (Singh, S.; Murshed, N.; Kropatsch, W.), s. 425-434
[ICAPR /2./. Rio de Janeiro (BR), 11.03.2001-14.03.2001]
R&D Projects: GA ČR GA402/01/0981; GA AV ČR KSK1019101
Institutional research plan: AV0Z1075907
Keywords : statistical pattern recognition * feature selection * methodology
Subject RIV: BB - Applied Statistics, Operational Research

Advances in feature selection methododology for statistical pattern recognition are presented and overviewed in the taxonomical framewrok. The methods discussed include latest variants of the Branch and Bound algorithm, enhanced Floating Search techniques and the simultaneous semiparametric pdf modelling and feature space selection method.
Permanent Link: http://hdl.handle.net/11104/0130747