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» Object Recognition by Matching Symbolic Edge Graphs
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5396views
16 years 10 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CCS
2009
ACM
16 years 9 days ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
93
Voted
ICDM
2007
IEEE
227views Data Mining» more  ICDM 2007»
15 years 6 months ago
Optimal Subsequence Bijection
We consider the problem of elastic matching of sequences of real numbers. Since both a query and a target sequence may be noisy, i.e., contain some outlier elements, it is desirab...
Longin Jan Latecki, Qiang Wang, Suzan Koknar-Tezel...
VLDB
1999
ACM
134views Database» more  VLDB 1999»
15 years 4 months ago
Capturing and Querying Multiple Aspects of Semistructured Data
Motivated to a large extent by the substantial and growing prominence of the World-Wide Web and the potential benefits that may be obtained by applying database concepts and tech...
Curtis E. Dyreson, Michael H. Böhlen, Christi...
CVPR
2008
IEEE
16 years 1 months ago
Recognizing human actions using multiple features
In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
Jingen Liu, Saad Ali, Mubarak Shah