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» Robust Texture Recognition Using Credal Classifiers
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BMVC
2010
13 years 2 months ago
Robust Texture Recognition Using Credal Classifiers
Texture classification is used for many vision systems; in this paper we focus on improving the reliability of the classification through the so-called imprecise (or credal) class...
Giorgio Corani, Alessandro Giusti, Davide Migliore...
IPMU
2010
Springer
13 years 2 months ago
Restricting the IDM for Classification
Abstract. The naive credal classifier (NCC) extends naive Bayes classifier (NBC) to imprecise probabilities to robustly deal with the specification of the prior; NCC models a state...
Giorgio Corani, Alessio Benavoli
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
13 years 8 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
ICIP
2005
IEEE
13 years 10 months ago
Robust face alignment based on local texture classifiers
We propose a robust face alignment algorithm with a novel discriminative local texture model. Different from the conventional descriptive PCA local texture model in ASM, classifie...
Li Zhang, Haizhou Ai, Shengjun Xin, Chang Huang, S...
CIARP
2007
Springer
13 years 8 months ago
Texture Classification Through Combination of Sequential Colour Texture Classifiers
The sequential approach to colour texture classification relies on colour histogram clustering before extracting texture features from indexed images. The basic idea of such method...
Francesco Bianconi, Antonio Fernández, Elen...