2113 search results - page 158 / 423 » Learning Multi-modal Similarity |
187
click to vote
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
180
click to vote
ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
169
click to vote
ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
172
click to vote
ICIP
2007
IEEE
16 years 8 months ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
213
click to vote
ICML
1995
IEEE
16 years 7 months ago
1995
IEEE
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...