502 search results - page 48 / 101 » Learning from General Label Constraints |
89
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
92
Voted
NIPS
2003
14 years 11 months ago
2003
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
MIR
2004
ACM
15 years 3 months ago
2004
ACM
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
106
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We consider the problem of optimizing multilabel MRFs, which is in general NP-hard and ubiquitous in low-level computer vision. One approach for its solution is to formulate it as...
97
Voted
CONTEXT
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. In this paper, we propose a general model of schema matching based on the following ideas: on the one hand, a schema is viewed as a context (namely as a partial and appro...