224 search results - page 24 / 45 » Learning in Computer Vision: Some Thoughts |
108
click to vote
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...
141
click to vote
CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
130
click to vote
PR
2006
15 years 1 months ago
2006
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
126
click to vote
ECCV
2006
Springer
16 years 3 months ago
2006
Springer
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
115
click to vote
ICCV
2005
IEEE
16 years 3 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...