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ECCV
2010
Springer
15 years 3 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
CRV
2007
IEEE
231views Robotics» more  CRV 2007»
15 years 4 months ago
Establishing Visual Correspondence from Multi-Resolution Graph Cuts for Stereo-Motion
This paper presents the design and implementation of a multi-resolution graph cuts (MRGC) for stereo-motion framework that produces dense disparity maps. Both stereo and motion ar...
Joshua Worby, W. James MacLean
PAMI
2010
215views more  PAMI 2010»
14 years 8 months ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...
SIGMETRICS
2008
ACM
140views Hardware» more  SIGMETRICS 2008»
14 years 9 months ago
Scalable VPN routing via relaying
Enterprise customers are increasingly adopting MPLS (Multiprotocol Label Switching) VPN (Virtual Private Network) service that offers direct any-to-any reachability among the cust...
Changhoon Kim, Alexandre Gerber, Carsten Lund, Dan...
CVPR
2008
IEEE
15 years 11 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...