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» Hilbert Space Embeddings and Metrics on Probability Measures
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CORR
2004
Springer
91views Education» more  CORR 2004»
14 years 11 months ago
Metrics for more than two points at once
The conventional definition of a topological metric over a space specifies properties that must be obeyed by any measure of "how separated" two points in that space are....
David Wolpert
CVPR
2003
IEEE
16 years 1 months ago
Many-to-Many Graph Matching via Metric Embedding
Graph matching is an important component in many object recognition algorithms. Although most graph matching algorithms seek a one-to-one correspondence between nodes, it is often...
Yakov Keselman, Ali Shokoufandeh, M. Fatih Demirci...
SSD
2007
Springer
146views Database» more  SSD 2007»
15 years 5 months ago
Blind Evaluation of Nearest Neighbor Queries Using Space Transformation to Preserve Location Privacy
In this paper we propose a fundamental approach to perform the class of Nearest Neighbor (NN) queries, the core class of queries used in many of the location-based services, withou...
Ali Khoshgozaran, Cyrus Shahabi
108
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TALG
2010
158views more  TALG 2010»
14 years 6 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
TKDE
2008
171views more  TKDE 2008»
14 years 11 months ago
Efficient Similarity Search in Nonmetric Spaces with Local Constant Embedding
Similarity-based search has been a key factor for many applications such as multimedia retrieval, data mining, Web search and retrieval, and so on. There are two important issues r...
Lei Chen 0002, Xiang Lian