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» Text Classification Using Word-Based PPM Models
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NIPS
2008
13 years 9 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
WWW
2005
ACM
14 years 8 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
NLDB
2000
Springer
13 years 11 months ago
Natural Language Analysis for Semantic Document Modeling
To ease the retrieval of documents published on the Web, the documents should be classified in a way that users find helpful and meaningful. This paper presents an approach to sema...
Terje Brasethvik, Jon Atle Gulla
CVPR
2010
IEEE
14 years 3 months ago
Action Unit Detection with Segment-based SVMs
Automatic facial action unit (AU) detection from video is a long-standing problem in computer vision. Two main approaches have been pursued: (1) static modeling--typically posed a...
Tomas Simon, Nguyen Minh, Fernando De la Torre, Je...
CHI
2006
ACM
14 years 7 months ago
FaThumb: a facet-based interface for mobile search
In this paper we describe a novel approach for searching large data sets from a mobile phone. Existing interfaces for mobile search require keyword text entry and are not suited f...
Amy K. Karlson, George G. Robertson, Daniel C. Rob...