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IBPRIA
2007
Springer
15 years 7 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
IWBRS
2005
Springer
145views Biometrics» more  IWBRS 2005»
15 years 7 months ago
Face Authentication Using One-Class Support Vector Machines
Abstract. This paper proposes a new method for personal identity verification based the analysis of face images applying One Class Support Vector Machines. This is a recently intr...
Manuele Bicego, Enrico Grosso, Massimo Tistarelli
SIAMDM
2008
143views more  SIAMDM 2008»
15 years 1 months ago
Coloring Bull-Free Perfectly Contractile Graphs
We consider the class of graphs that contain no bull, no odd hole, and no antihole of length at least five. We present a new algorithm that colors optimally the vertices of every g...
Benjamin Lévêque, Frédé...
CSMR
2005
IEEE
15 years 7 months ago
Discovering Unanticipated Dependency Schemas in Class Hierarchies
Object-oriented applications are difficult to extend and maintain, due to the presence of implicit dependencies in the inheritance hierarchy. Although these dependencies often co...
Gabriela Arévalo, Stéphane Ducasse, ...
NPL
2006
90views more  NPL 2006»
15 years 1 months ago
Hierarchical Incremental Class Learning with Reduced Pattern Training
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun