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CRV
2005
IEEE
201views Robotics» more  CRV 2005»
15 years 5 months ago
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Gustavo Carneiro, Nuno Vasconcelos
JCP
2008
114views more  JCP 2008»
14 years 10 months ago
A Novel Feature Selection Algorithm Based on Hypothesis-Margin
Iterative search margin based algorithm(Simba) has been proven effective for feature selection. However, it still has the following disadvantages: (1) the previously proposed model...
Ming Yang, Fei Wang, Ping Yang
97
Voted
BMVC
2010
14 years 9 months ago
Label propagation in complex video sequences using semi-supervised learning
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipo...
ICIP
2007
IEEE
14 years 12 months ago
Information-Based Color Feature Representation for Image Classification
1 For the image classification task, the color histogram is widely used as an important color feature indicating the content of the image. However, the high-resolution color histog...
Shi-Lin Wang, Alan Wee-Chung Liew
ISMB
1994
15 years 1 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya