97 search results - page 7 / 20 » Eigenvalue Problem Approach to Discrete Minimization |
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
IPSN
2003
Springer
14 years 3 months ago
2003
Springer
In this paper we study a dynamic sensor selection method for Bayesian filtering problems. In particular we consider the distributed Bayesian Filtering strategy given in [1] and sh...
CVIU
2007
13 years 9 months ago
2007
Nowadays color image processing is an essential issue in computer vision. Variational formulations provide a framework for color image restoration, smoothing and segmentation prob...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
ICIP
2009
IEEE
14 years 11 months ago
2009
IEEE
This paper addresses the problem of mapping images between different vision sensors. Such a mapping could be modeled as a sampling problem that has to encompass the change of geom...