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» A Novel Method for Video Retrieval Using Relevant Feedback
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CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
14 years 18 days ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
14 years 2 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa
AIRS
2010
Springer
13 years 5 months ago
Relevance Ranking Using Kernels
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
Jun Xu, Hang Li, Chaoliang Zhong
ECIR
2010
Springer
13 years 8 months ago
Improving Retrievability of Patents in Prior-Art Search
Prior-art search is an important task in patent retrieval. The success of this task relies upon the selection of relevant search queries. Typically terms for prior-art queries are ...
Shariq Bashir, Andreas Rauber
CIKM
2011
Springer
12 years 7 months ago
An efficient method for using machine translation technologies in cross-language patent search
Topics in prior-art patent search are typically full patent applications and relevant items are patents often taken from sources in different languages. Cross language patent retr...
Walid Magdy, Gareth J. F. Jones