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» Optimizing Learning in Image Retrieval
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ICPR
2002
IEEE
14 years 8 months ago
Content Based Image Retrieval Using Optimum Peano Scan
We present a new technique for content based image retrieval where feature vector to be matched is very much specific to the query image. A particular Peano scan which is optimal ...
N. Jhanwar, Subhasis Chaudhuri, Guna Seetharaman, ...
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
SEMWEB
2007
Springer
14 years 1 months ago
Optimizing the Retrieval of Pertinent Answers for NL Questions with the E-Librarian Service
Abstract. There is a growing discrepancy between the creation of digital content and its actual employment and usefulness in a learning society. Technologies for recording lectures...
Serge Linckels, Harald Sack, Christoph Meinel
ICIP
2003
IEEE
14 years 9 months ago
Annotating retrieval database with active learning
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
Cha Zhang, Tsuhan Chen
CLEF
2004
Springer
14 years 1 months ago
MSU at ImageCLEF: Cross Language and Interactive Image Retrieval
Abstract. In this report, we describe our studies with cross language and interactive image retrieval in ImageCLEF 2004. Typical cross language retrieval requires special linguisti...
Vineet Bansal, Chen Zhang, Joyce Y. Chai, Rong Jin