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CVPR
2008
IEEE
16 years 4 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 7 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
130
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ECCV
2008
Springer
16 years 4 months ago
Signature-Based Document Image Retrieval
As the most pervasive method of individual identification and document authentication, signatures present convincing evidence and provide an important form of indexing for effectiv...
Guangyu Zhu, Yefeng Zheng, David S. Doermann
MIR
2005
ACM
128views Multimedia» more  MIR 2005»
15 years 8 months ago
Content-based image retrieval: approaches and trends of the new age
The last decade has witnessed great interest in research on content-based image retrieval. This has paved the way for a large number of new techniques and systems, and a growing i...
Ritendra Datta, Jia Li, James Ze Wang
139
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SIGIR
2003
ACM
15 years 7 months ago
Automatic image annotation and retrieval using cross-media relevance models
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labo...
Jiwoon Jeon, Victor Lavrenko, R. Manmatha