112 search results - page 2 / 23 » Minimizing and Learning Energy Functions for Side-Chain Pred... |
PAKDD
2004
ACM
13 years 10 months ago
2004
ACM
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We propose a scheme to introduce directionality in the Random Walker algorithm for image segmentation. In particular, we extend the optimization framework of this algorithm to com...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
CSB
2005
IEEE
13 years 10 months ago
2005
IEEE
We describe a new method to predict the tertiary structure of new-fold proteins. Our two-phase approach combines the knowledge-based fragmentpacking with the minimization of a phy...
EDUTAINMENT
2006
Springer
13 years 8 months ago
2006
Springer
In this paper, we formulate the image matting as one of solving energy minimization problems. Our approach has the following advantages. First, the matte estimation is modeled usin...