17 search results - page 1 / 4 » Boundary Learning by Optimization with Topological Constrain... |
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
CVIU
2008
2008
Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images
13 years 5 months ago
Topology is an important prior in many image segmentation tasks. In this paper, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology p...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
In this paper we consider the problem of classification in the presence of pairwise constraints, which consist of pairs of examples as well as a binary variable indicating whether...
KI
2009
Springer
13 years 12 months ago
2009
Springer
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...