3607 search results - page 348 / 722 » Learning with structured sparsity |
217
click to vote
TSP
2010
15 years 1 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
219
click to vote
AAAI
2012
13 years 9 months ago
2012
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
240
click to vote
CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We present a novel method for modeling dynamic visual
phenomena, which consists of two key aspects. First, the in-
tegral motion of constituent elements in a dynamic scene is
ca...
180
click to vote
CVPR
2000
IEEE
16 years 8 months ago
2000
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
193
click to vote
CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
This paper presents a method for learning decision theoretic models of facial expressions and gestures from video data. We consider that the meaning of a facial display or gesture...