224 search results - page 24 / 45 » Learning in Computer Vision: Some Thoughts |
ICPR
2010
IEEE
14 years 26 days 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...
CVPR
2011
IEEE
13 years 7 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...
PR
2006
13 years 10 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...
ECCV
2006
Springer
15 years 22 days 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...
ICCV
2005
IEEE
15 years 23 days 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...