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CVPR
2004
IEEE
14 years 7 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ICIP
2010
IEEE
13 years 3 months ago
Network of evolutionary binary classifiers for classification and retrieval in macroinvertebrate databases
In this paper, we focus on advanced classification and data retrieval schemes that are instrumental when processing large taxonomical image datasets. With large number of classes,...
Serkan Kiranyaz, Moncef Gabbouj, Jenni Pulkkinen, ...
PAMI
2008
208views more  PAMI 2008»
13 years 5 months ago
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
WWW
2007
ACM
14 years 6 months ago
Combining classifiers to identify online databases
We address the problem of identifying the domain of online databases. More precisely, given a set F of Web forms automatically gathered by a focused crawler and an online database...
Luciano Barbosa, Juliana Freire
ICIP
2000
IEEE
14 years 6 months ago
Fast Retrieval Methods for Images with Significant Variations
Fast image retrieval is the key to success for operations on large image databases, and a great many techniques have been developed for efficient retrieval. However, most of these...
Paul W. Fieguth, Riyin Wan