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» Classification of Web Documents Using a Graph Model
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ICIP
2008
IEEE
15 years 4 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
ADMA
2009
Springer
142views Data Mining» more  ADMA 2009»
15 years 4 months ago
Crawling Deep Web Using a New Set Covering Algorithm
Abstract. Crawling the deep web often requires the selection of an appropriate set of queries so that they can cover most of the documents in the data source with low cost. This ca...
Yan Wang, Jianguo Lu, Jessica Chen
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
15 years 3 months ago
TV Commercial Classification by using Multi-Modal Textual Information
In this paper, we propose an approach for TV commercial video classification by the categories of advertised products or services (e.g. automobiles, healthcare products, etc). Sin...
Yantao Zheng, Lingyu Duan, Qi Tian, Jesse S. Jin
SEMWEB
2010
Springer
14 years 7 months ago
Signal/Collect: Graph Algorithms for the (Semantic) Web
The Semantic Web graph is growing at an incredible pace, enabling opportunities to discover new knowledge by interlinking and analyzing previously unconnected data sets. This confr...
Philip Stutz, Abraham Bernstein, William Cohen
WWW
2006
ACM
15 years 10 months ago
Discovering event evolution graphs from newswires
In this paper, we propose an approach to automatically mine event evolution graphs from newswires on the Web. Event evolution graph is a directed graph in which the vertices and e...
Christopher C. Yang, Xiaodong Shi