Sciweavers

107 search results - page 4 / 22
» A method of feature selection using contribution ratio based...
Sort
View
ILP
2003
Springer
13 years 11 months ago
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
Susanne Hoche, Stefan Wrobel
ISM
2008
IEEE
140views Multimedia» more  ISM 2008»
14 years 6 days ago
Medical Video Event Classification Using Shared Features
Advances in video technology are being incorporated into today’s medical research and education. Medical videos contain important medical events, such as diagnostic or therapeut...
Yu Cao, Shih-Hsi Liu, Ming Li, Sung Baang, Sanqing...
ICIP
2008
IEEE
14 years 7 days ago
Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition
In this paper, the problem of automatic Gabor wavelet selection for face recognition is tackled by introducing an automatic algorithm based on Parallel AdaBoosting method. Incorpo...
Ulas Bagci, Li Bai
CVPR
2004
IEEE
14 years 7 months ago
Asymmetrically Boosted HMM for Speech Reading
Speech reading, also known as lip reading, is aimed at extracting visual cues of lip and facial movements to aid in recognition of speech. The main hurdle for speech reading is th...
Pei Yin, Irfan A. Essa, James M. Rehg
PRL
2008
213views more  PRL 2008»
13 years 5 months ago
Boosting recombined weak classifiers
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
Juan José Rodríguez, Jesús Ma...