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» Learning in Region-Based Image Retrieval
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CIVR
2007
Springer
157views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Using multiple segmentations for image auto-annotation
Automatic image annotation techniques that try to identify the objects in images usually need the images to be segmented first, especially when specifically annotating image reg...
Jiayu Tang, Paul H. Lewis
CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
14 years 1 months ago
Unsupervised multi-feature tag relevance learning for social image retrieval
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...
Xirong Li, Cees G. M. Snoek, Marcel Worring
ICIP
2008
IEEE
14 years 10 months ago
Long term learning for image retrieval over networks
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...
David Picard, Arnaud Revel, Matthieu Cord
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 2 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
PR
2008
79views more  PR 2008»
13 years 8 months ago
Region-based image retrieval with high-level semantics using decision tree learning
Semantic-based image retrieval has attracted great interest in recent years. This paper proposes a region-based image retrieval system with high-level semantic learning. The key f...
Ying Liu, Dengsheng Zhang, Guojun Lu