112 search results - page 5 / 23 » Minimizing and Learning Energy Functions for Side-Chain Pred... |
GECCO
2005
Springer
14 years 29 days ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike ...
ACIVS
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents a new method to both track and segment objects in videos. It includes predictions and observations inside an energy function that is minimized with graph cuts. ...
JMLR
2012
11 years 10 months ago
2012
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
MP
2011
13 years 2 months ago
2011
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...