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ICPR
2008
IEEE
14 years 6 days 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...
DATESO
2007
157views Database» more  DATESO 2007»
13 years 7 months ago
Index-Based Approach to Similarity Search in Protein and Nucleotide Databases
When searching databases of nucleotide or protein sequences, finding a local alignment of two sequences is one of the main tasks. Since the sizes of available databases grow const...
David Hoksza, Tomás Skopal
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 4 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
ICDE
2002
IEEE
209views Database» more  ICDE 2002»
14 years 7 months ago
Geometric-Similarity Retrieval in Large Image Bases
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...
Ioannis Fudos, Leonidas Palios, Evaggelia Pitoura
CVPR
2004
IEEE
14 years 7 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...