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» A New Discriminative Kernel From Probabilistic Models
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CVPR
2007
IEEE
15 years 11 months ago
Kernel Sharing With Joint Boosting For Multi-Class Concept Detection
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui
CVPR
2003
IEEE
15 years 11 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
ICPR
2004
IEEE
15 years 11 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...
QEST
2008
IEEE
15 years 4 months ago
ProbDiVinE-MC: Multi-core LTL Model Checker for Probabilistic Systems
We present a new version of PROBDIVINE – a parallel tool for verification of probabilistic systems against properties formulated in linear temporal logic. Unlike the previous r...
Jiri Barnat, Lubos Brim, Ivana Cerná, Milan...
BMCBI
2010
146views more  BMCBI 2010»
14 years 10 months ago
A pairwise residue contact area-based mean force potential for discrimination of native protein structure
Background: Considering energy function to detect a correct protein fold from incorrect ones is very important for protein structure prediction and protein folding. Knowledge-base...
Shahriar Arab, Mehdi Sadeghi, Changiz Eslahchi, Ha...