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ICPR
2008
IEEE
15 years 4 months ago
Fast approximate kernel-based similarity search for image retrieval task
In content based image retrieval, the success of any distance-based indexing scheme depends critically on the quality of the chosen distance metric. We propose in this paper a ker...
David Gorisse, Matthieu Cord, Frédér...
ADMA
2009
Springer
121views Data Mining» more  ADMA 2009»
14 years 7 months ago
Quantitative Comparison of Similarity Measure and Entropy for Fuzzy Sets
Comparison and data analysis to the similarity measures and entropy for fuzzy sets are studied. The distance proportional value between the fuzzy set and the corresponding crisp se...
Hongmei Wang, Sanghyuk Lee, Jaehyung Kim
VLDB
1997
ACM
170views Database» more  VLDB 1997»
15 years 1 months ago
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
Paolo Ciaccia, Marco Patella, Pavel Zezula
NIPS
2008
14 years 11 months ago
Online Metric Learning and Fast Similarity Search
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kr...
MMS
2006
14 years 9 months ago
Evaluation and analysis of similarity measures for content-based visual information retrieval
The selection of appropriate proximity measures is one of the crucial success factors of content-based visual information retrieval. In this area of research, proximity measures ar...
Horst Eidenberger