JMLR
2012
11 years 7 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
11 years 7 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
12 years 4 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
13 years 4 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
13 years 9 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
13 years 10 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
13 years 10 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
14 years 5 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, ...