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» Salient Feature Selection for Visual Concept Learning
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ICASSP
2007
IEEE
15 years 3 months ago
Exploiting Concept Association to Boost Multimedia Semantic Concept Detection
In the paper we study the efficiency of semantic concept association in multimedia semantic concept detection. We present an approach to automatically learn from the corpus the as...
Sheng Gao, Xinglei Zhu, Qibin Sun
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
15 years 9 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
MMS
2008
14 years 9 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
HT
2007
ACM
15 years 1 months ago
Toward interactive learning by concept ordering
In this paper we present a visual education tool for efficient and effective learning. The toolkit is based on a simple premise: simple concepts should be learned before advanced ...
Shantanu Godbole, Sachindra Joshi, Sameep Mehta, G...
ICANN
2010
Springer
14 years 10 months ago
Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting
We present a biologically inspired neural network model of visual orienting (using saccadic eye movements) in which targets are preferentially selected according to their reward va...
Kevin Brohan, Kevin N. Gurney, Piotr Dudek