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ECCV
2008
Springer
16 years 16 hour ago
Improving Shape Retrieval by Learning Graph Transduction
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuow...
ECCV
2006
Springer
16 years 15 hour ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
ECCV
2002
Springer
15 years 12 months ago
What Energy Functions Can Be Minimized via Graph Cuts?
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
Vladimir Kolmogorov, Ramin Zabih
ICIP
2006
IEEE
15 years 11 months ago
Local Discriminant Embedding with Tensor Representation
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
Jian Xia, Dit-Yan Yeung, Guang Dai
ICIP
2002
IEEE
15 years 11 months ago
Semantics of multimedia in MPEG-7
In this paper, we present the tools standardized by MPEG-7 for describing the semantics of multimedia. In particular, we the Abstraction Model, entities, attributes and relations ...
A. Murat Tekalp, Ahmet Ekin, Alesandro Bugatti, An...