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» Graph Mining based on a Data Partitioning Approach
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TMM
2010
199views Management» more  TMM 2010»
14 years 7 months ago
Video Annotation Through Search and Graph Reinforcement Mining
Abstract--Unlimited vocabulary annotation of multimedia documents remains elusive despite progress solving the problem in the case of a small, fixed lexicon. Taking advantage of th...
Emily Moxley, Tao Mei, Bangalore S. Manjunath
ACL
2006
15 years 2 months ago
Unsupervised Part-of-Speech Tagging Employing Efficient Graph Clustering
An unsupervised part-of-speech (POS) tagging system that relies on graph clustering methods is described. Unlike in current state-of-the-art approaches, the kind and number of dif...
Chris Biemann
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 4 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
103
Voted
CIKM
2008
Springer
15 years 2 months ago
On effective presentation of graph patterns: a structural representative approach
In the past, quite a few fast algorithms have been developed to mine frequent patterns over graph data, with the large spectrum covering many variants of the problem. However, the...
Chen Chen, Cindy Xide Lin, Xifeng Yan, Jiawei Han
147
Voted
ICALP
2009
Springer
16 years 27 days ago
Counting Subgraphs via Homomorphisms
We introduce a generic approach for counting subgraphs in a graph. The main idea is to relate counting subgraphs to counting graph homomorphisms. This approach provides new algori...
Omid Amini, Fedor V. Fomin, Saket Saurabh