JMLR
2012
12 years 4 months ago
2012
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
JMLR
2012
12 years 4 months ago
2012
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
ICCV
2011
IEEE
13 years 1 months ago
2011
IEEE
The multi-label problem is of fundamental importance to computer vision, yet finding global minima of the associated energies is very hard and usually impossible in practice. Rec...
TON
2008
14 years 1 months ago
2008
Most network operators have considered reducing LSR label spaces (number of labels used) as a way of simplifying management of underlaying Virtual Private Networks (VPNs) and there...
ECCV
2010
Springer
14 years 7 months ago
2010
Springer
Convex relaxations for continuous multilabel problems have attracted a lot of interest recently [1–5]. Unfortunately, in previous methods, the runtime and memory requirements sca...
EMMCVPR
2005
Springer
14 years 7 months ago
2005
Springer
Abstract. In this paper, we present a novel successive relaxation linear programming scheme for solving the important class of consistent labeling problems for which an L1 metric i...
ISCC
2005
IEEE
14 years 7 months ago
2005
IEEE
- Traffic Engineering objective is to optimize network resource utilization. Although several works have been published about minimizing network resource utilization, few works hav...
MICCAI
2008
Springer
15 years 2 months ago
2008
Springer
Richly labeled images representing several sub-structures of an organ occur quite frequently in medical images. For example, a typical brain image can be labeled into grey matter, ...