543 search results - page 75 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
JMLR
2012
11 years 10 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
WWW
2004
ACM
14 years 8 months ago
2004
ACM
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
By representing images and image prototypes by linear subspaces spanned by "tangent vectors" (derivatives of an image with respect to translation, rotation, etc.), impre...