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» Optimizing Learning in Image Retrieval
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ICIP
2005
IEEE
14 years 9 months ago
Semantic kernel learning for interactive image retrieval
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
Philippe Henri Gosselin, Matthieu Cord
ICPR
2010
IEEE
13 years 5 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
ICIP
2002
IEEE
14 years 9 months ago
Optimal recursive similarity measure estimation for interactive content-based image retrieval
In this paper, a new recursive algorithm is proposed for optimal estimation of similarity measure used in a content-based retrieval system. This is performed through a relevance f...
Anastasios D. Doulamis, Nikolaos D. Doulamis
CIVR
2005
Springer
144views Image Analysis» more  CIVR 2005»
14 years 1 months ago
A Weakly Supervised Approach for Semantic Image Indexing and Retrieval
This paper presents a new approach for building semantic image indexing and retrieval systems. Our approach is composed of four phases : (1) knowledge acquisition, (2) weakly-super...
Nicolas Maillot, Monique Thonnat
ISM
2008
IEEE
108views Multimedia» more  ISM 2008»
14 years 2 months ago
Optimization of Content-Based Image Retrieval Functions
Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
Asadollah Shahbahrami, Ben H. H. Juurlink