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AC
2000
Springer
14 years 1 months ago
Graph-Theoretical Methods in Computer Vision
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
Ali Shokoufandeh, Sven J. Dickinson
IM
2008
13 years 8 months ago
Directed Random Dot Product Graphs
In this paper we consider three models for random graphs that utilize the inner product as their fundamental object. We analyze the behavior of these models with respect to cluster...
Stephen J. Young, Edward R. Scheinerman
ICDE
2009
IEEE
183views Database» more  ICDE 2009»
14 years 10 months ago
Efficient Indices Using Graph Partitioning in RDF Triple Stores
With the advance of the Semantic Web, varying RDF data were increasingly generated, published, queried, and reused via the Web. For example, the DBpedia, a community effort to extr...
Ying Yan, Chen Wang, Aoying Zhou, Weining Qian, Li...
ICDM
2006
IEEE
166views Data Mining» more  ICDM 2006»
14 years 2 months ago
Mining Generalized Graph Patterns Based on User Examples
There has been a lot of recent interest in mining patterns from graphs. Often, the exact structure of the patterns of interest is not known. This happens, for example, when molecu...
Pavel Dmitriev, Carl Lagoze
ICML
2004
IEEE
14 years 9 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...