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» The Complexity of Bottleneck Labeled Graph Problems
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AAAI
2012
11 years 10 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
ICPR
2010
IEEE
14 years 2 months ago
Integrating a Discrete Motion Model into GMM Based Background Subtraction
GMM based algorithms have become the de facto standard for background subtraction in video sequences, mainly because of their ability to track multiple background distributions, w...
Christian Wolf, Jolion Jolion
LATA
2009
Springer
14 years 2 months ago
From Gene Trees to Species Trees through a Supertree Approach
Abstract. Gene trees are leaf-labeled trees inferred from molecular sequences. Due to duplication events arising in genome evolution, gene trees usually have multiple copies of som...
Celine Scornavacca, Vincent Berry, Vincent Ranwez
SMA
2003
ACM
118views Solid Modeling» more  SMA 2003»
14 years 24 days ago
Graph based topological analysis of tessellated surfaces
In this paper a graph-based method is presented which not only characterizes topological classification of the tessellated surfaces but also simultaneously generates the substanti...
Tula Ram Ban, Dibakar Sen
PODS
2010
ACM
213views Database» more  PODS 2010»
14 years 19 days ago
Expressive languages for path queries over graph-structured data
For many problems arising in the setting of graph querying (such as finding semantic associations in RDF graphs, exact and approximate pattern matching, sequence alignment, etc.)...
Pablo Barceló, Carlos A. Hurtado, Leonid Li...