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» Object Recognition by Matching Symbolic Edge Graphs
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Book
5396views
17 years 2 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
148
Voted
CCS
2009
ACM
16 years 4 months 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
ICDM
2007
IEEE
227views Data Mining» more  ICDM 2007»
15 years 10 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...
132
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VLDB
1999
ACM
134views Database» more  VLDB 1999»
15 years 8 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 5 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