184 search results - page 15 / 37 » Near Neighbor Search in Large Metric Spaces |
ICIP
2003
IEEE
15 years 11 months ago
2003
IEEE
Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index struct...
102
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ALENEX
2001
14 years 11 months ago
2001
Range searches in metric spaces can be very di cult if the space is \high dimensional", i.e. when the histogram of distances has a large mean and a small variance. The so-cal...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
102
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JMLR
2012
13 years 2 days ago
2012
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
SODA
2008
ACM
14 years 11 months ago
2008
ACM
We consider the problem of embedding a metric into low-dimensional Euclidean space. The classical theorems of Bourgain, and of Johnson and Lindenstrauss say that any metric on n p...