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NIPS
2000
15 years 1 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
JMLR
2008
95views more  JMLR 2008»
14 years 11 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
PRL
2008
93views more  PRL 2008»
14 years 11 months ago
Learning to learn: From smart machines to intelligent machines
Since its birth, more than five decades ago, one of the biggest challenges of artificial intelligence remained the building of intelligent machines. Despite amazing advancements, ...
Bogdan Raducanu, Jordi Vitrià
CVPR
2009
IEEE
16 years 7 months ago
Convexity and Bayesian Constrained Local Models
The accurate localization of facial features plays a fundamental role in any face recognition pipeline. Constrained local models (CLM) provide an effective approach to localizati...
Ulrich Paquet (Imense Ltd)
CVPR
2009
IEEE
16 years 7 months ago
Monitoring, Recognizing and Discovering Social Networks
This work addresses the important problem of the discovery and analysis of social networks from surveillance video. A computer vision approach to this problem is made possible b...
Ting Yu, Ser Nam Lim, Kedar A. Patwardhan, Nils Kr...