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» Modeling Appearances with Low-Rank SVM
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ICML
2005
IEEE
14 years 6 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
JMLR
2006
156views more  JMLR 2006»
13 years 5 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
FGR
2004
IEEE
130views Biometrics» more  FGR 2004»
13 years 9 months ago
Sparse Models for Gender Classification
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Nicholas Costen, Martin Brown, Shigeru Akamatsu
CVPR
2008
IEEE
13 years 7 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
ICMCS
2007
IEEE
406views Multimedia» more  ICMCS 2007»
13 years 12 months ago
3D Haar-Like Features for Pedestrian Detection
One basic observation for pedestrian detection in video sequences is that both appearance and motion information are important to model the moving people. Based on this observatio...
Xinyi Cui, Yazhou Liu, Shiguang Shan, Xilin Chen, ...