Sciweavers

2869 search results - page 195 / 574
» Metropolis-Hastings algorithms with adaptive proposals
Sort
View
IJON
1998
158views more  IJON 1998»
15 years 6 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
EMO
2009
Springer
159views Optimization» more  EMO 2009»
16 years 1 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
141
Voted
ICMCS
2005
IEEE
78views Multimedia» more  ICMCS 2005»
16 years 6 days ago
Partial Linear Regression for Audio-Driven Talking Head Application
Virtual avatars in many applications are constructed manually or by a single speech-driven model which needs a lot of training data and long training time. It’s an essential pro...
Chao-Kuei Hsieh, Yung-Chang Chen
WACV
2005
IEEE
16 years 5 days ago
Incorporating Object Tracking Feedback into Background Maintenance Framework
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
Leonid Taycher, John W. Fisher III, Trevor Darrell
CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 3 months ago
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre