75 search results - page 12 / 15 » Learning Probabilistic Models for Contour Completion in Natu... |
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
CVPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...