18 search results - page 3 / 4 » Exploiting Inference for Approximate Parameter Learning in D... |
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
VLSISP
2010
13 years 3 months ago
2010
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...
UAI
2003
13 years 6 months ago
2003
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
ECAI
2010
Springer
13 years 2 months ago
2010
Springer
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We propose an algorithm for estimating disparity and occlusion in stereo video sequences. The algorithm defines a prior on sequences of disparity maps using a 3D Markov random fie...