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88
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WWW
2008
ACM
16 years 2 months ago
Information "uptrieval": exploring models for content assimilation and aggregation for developing regions
Information Retrieval on the WWW is important because it is hard to find what one is looking for. There is a plethora of information available, and searching relevant information ...
Sheetal K. Agarwal, Arun Kumar, Sougata Mukherjea,...
MM
2006
ACM
175views Multimedia» more  MM 2006»
15 years 7 months ago
Diversifying the image retrieval results
In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’ requirements. Previous methods mainly focus on p...
Kai Song, YongHong Tian, Wen Gao, Tiejun Huang
130
Voted
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
15 years 7 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
141
Voted
SDM
2004
SIAM
174views Data Mining» more  SDM 2004»
15 years 3 months ago
Classifying Documents Without Labels
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
Daniel Barbará, Carlotta Domeniconi, Ning K...
145
Voted
BMCBI
2010
123views more  BMCBI 2010»
14 years 8 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke