221 search results - page 29 / 45 » Learning from Labeled and Unlabeled Data Using Random Walks |
TIP
2010
13 years 6 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
MM
2009
ACM
14 years 2 months ago
2009
ACM
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
IEICET
2010
13 years 6 months ago
2010
We address the problem of perceived age estimation from face images, and propose a new semi-supervised approach involving two novel aspects. The first novelty is an efficient act...