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» Web Document Classification by Keywords Using Random Forests
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81
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CVPR
2007
IEEE
15 years 11 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 1 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
VLDB
2003
ACM
125views Database» more  VLDB 2003»
15 years 9 months ago
THESUS: Organizing Web document collections based on link semantics
Abstract. The requirements for effective search and management of the WWW are stronger than ever. Currently Web documents are classified based on their content not taking into acco...
Maria Halkidi, Benjamin Nguyen, Iraklis Varlamis, ...
WWW
2008
ACM
15 years 10 months ago
Behavioral classification on the click graph
A bipartite query-URL graph, where an edge indicates that a document was clicked for a query, is a useful construct for finding groups of related queries and URLs. Here we use thi...
Martin Szummer, Nick Craswell
73
Voted
ACMDIS
2006
ACM
15 years 1 months ago
Randomness as a resource for design
Randomness is being harnessed in the design of some interactive systems. This is observed in random blogs, random web searching, and in particular Apple's iPod Shuffle. Yet t...
Tuck Wah Leong, Frank Vetere, Steve Howard