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» Variational Relevance Vector Machines
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CVPR
2004
IEEE
14 years 9 months ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang
AAAI
2006
13 years 8 months ago
Multiclass Support Vector Machines for Articulatory Feature Classification
of somewhat abstracting away from the literal physiological measurements of articulation that are so closely tied to the acoustic signal, and with some additional computational bur...
Brian Hutchinson, Jianna Zhang
ECCV
2002
Springer
14 years 9 months ago
Learning to Parse Pictures of People
The detection of people is one of the foremost problems for indexing, browsing and retrieval of video. The main difficulty is the large appearance variations caused by action, clot...
Rémi Ronfard, Cordelia Schmid, Bill Triggs
ICML
2007
IEEE
14 years 8 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
CORR
2007
Springer
113views Education» more  CORR 2007»
13 years 7 months ago
Virtual screening with support vector machines and structure kernels
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
Pierre Mahé, Jean-Philippe Vert