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ML
2002
ACM
121views Machine Learning» more  ML 2002»
14 years 11 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
CVIU
2007
154views more  CVIU 2007»
14 years 11 months ago
Smart particle filtering for high-dimensional tracking
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high dimensionality of the state space. Recently, a new optimization met...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
15 years 12 months ago
Robust boosting and its relation to bagging
Several authors have suggested viewing boosting as a gradient descent search for a good fit in function space. At each iteration observations are re-weighted using the gradient of...
Saharon Rosset
DAGM
2008
Springer
15 years 1 months ago
An Unbiased Second-Order Prior for High-Accuracy Motion Estimation
Abstract. Virtually all variational methods for motion estimation regularize the gradient of the flow field, which introduces a bias towards piecewise constant motions in weakly te...
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
ICASSP
2011
IEEE
14 years 3 months ago
PAC-Bayesian approach for minimization of phoneme error rate
We describe a new approach for phoneme recognition which aims at minimizing the phoneme error rate. Building on structured prediction techniques, we formulate the phoneme recogniz...
Joseph Keshet, David A. McAllester, Tamir Hazan