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» A two-level relevance feedback mechanism for image retrieval
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MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 3 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
MMS
2006
14 years 9 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
CIKM
2008
Springer
14 years 11 months ago
Managing collaborative feedback information for distributed retrieval
Despite the many research efforts invested recently in peerto-peer search engines, none of the proposed system has reached the level of quality and efficiency of their centralized...
Pascal Felber, Toan Luu, Martin Rajman, Etienne Ri...
CIVR
2007
Springer
189views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Online video recommendation based on multimodal fusion and relevance feedback
With Internet delivery of video content surging to an unprecedented level, video recommendation has become a very popular online service. The capability of recommending relevant v...
Bo Yang, Tao Mei, Xian-Sheng Hua, Linjun Yang, Shi...
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ICASSP
2007
IEEE
15 years 4 months ago
A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image Retrieval
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Konstantin Shkurko, Xiaojun Qi