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» Salient Feature Selection for Visual Concept Learning
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CVPR
2005
IEEE
15 years 11 months ago
Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
Evgeniy Bart, Shimon Ullman
108
Voted
CLEF
2006
Springer
15 years 1 months ago
Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL
Abstract. We promote the use of explicit medical knowledge to solve retrieval of information both visual and textual. For text, this knowledge is a set of concepts from a Meta-thes...
Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee ...
ICPR
2004
IEEE
15 years 10 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...
TCSV
2011
14 years 4 months ago
Concept-Driven Multi-Modality Fusion for Video Search
—As it is true for human perception that we gather information from different sources in natural and multi-modality forms, learning from multi-modalities has become an effective ...
Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo
ICONIP
2008
14 years 11 months ago
An Integrated System for Incremental Learning of Multiple Visual Categories
Abstract. We present a biologically inspired vision system able to incrementally learn multiple visual categories by interactively presenting several hand-held objects. The overall...
Stephan Kirstein, Heiko Wersing, Horst-Michael Gro...