458 search results - page 35 / 92 » Neural conditional random fields |
ICASSP
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
AAAI
2008
13 years 11 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
ISNN
2005
Springer
14 years 2 months ago
2005
Springer
Contextual information and a priori knowledge play important roles in image segmentation based on neural networks. This paper proposed a method for including contextual information...
CVPR
2003
IEEE
14 years 11 months ago
2003
IEEE
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...