18 search results - page 2 / 4 » Exploiting Inference for Approximate Parameter Learning in D... |
RIAO
2007
13 years 6 months ago
2007
According to some current thinking, a very large number of semantic concepts could provide researcher a novel way to characterize video and be utilized for video retrieval and und...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
JAIR
1998
13 years 4 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we study the following problem: given two source images A and A , and a target image B, can we learn to synthesize a new image B which relates to B in the same way t...