750 search results - page 120 / 150 » Learning SVMs from Sloppily Labeled Data |
ICML
2009
IEEE
14 years 11 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 ...
CIVR
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely cha...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
CVPR
2008
IEEE
15 years 13 days ago
2008
IEEE
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...