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» Document Retrieval Using SIFT Image Features
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ECIR
2009
Springer
16 years 2 months ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Matthew Lease, James Allan, W. Bruce Croft
TMM
2010
249views Management» more  TMM 2010»
14 years 11 months ago
Bridging the Semantic Gap Between Image Contents and Tags
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King
WWW
2002
ACM
16 years 5 months ago
Using web structure for classifying and describing web pages
The structure of the web is increasingly being used to improve organization, search, and analysis of information on the web. For example, Google uses the text in citing documents ...
Eric J. Glover, Kostas Tsioutsiouliklis, Steve Law...
149
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JUCS
2010
145views more  JUCS 2010»
15 years 3 months ago
Block-based Against Segmentation-based Texture Image Retrieval
Abstract: This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two a...
Mohammad Faizal Ahmad Fauzi, Paul H. Lewis
ENC
2007
IEEE
15 years 11 months ago
fMRI Brain Image Retrieval Based on ICA Components
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Debora...