Počet záznamů: 1
Road sing classification using Laplace kernel classifier
- 1.0410431 - UTIA-B 20000147 RIV NL eng J - Článek v odborném periodiku
Paclík, Pavel - Novovičová, Jana - Pudil, Pavel - Somol, Petr
Road sing classification using Laplace kernel classifier.
Pattern Recognition Letters. Roč. 21, 13/14 (2000), s. 1165-1173. ISSN 0167-8655. E-ISSN 1872-7344
Grant ostatní: MŠMT(CZ) VS96063; GA AV(CZ) IAA2075608; GA AV(CZ) IAA2075606
Program: IA; IA
Výzkumný záměr: AV0Z1075907
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
Impakt faktor: 0.346, rok: 2000
The Laplace kernel rule for the road sign classification based on a priori information about road signs grouping has been developed. The smoothing parameters of the Laplace kernel are optimized by the pseudo-likelihood cross-validation method using the Expectation-Maximization algorithm. The new classification algorithm has been successfully tested on more than 1100 images of 43 road sign types. The comparison with the Bayes classifier assuming the Gaussian mixtures has been made.
Trvalý link: http://hdl.handle.net/11104/0130520
Počet záznamů: 1