603 search results - page 32 / 121 » A discriminative model for semi-supervised learning |
NN
2007
Springer
13 years 7 months ago
2007
Springer
The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
DMIN
2006
13 years 9 months ago
2006
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
ACL
2004
13 years 9 months ago
2004
This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...