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» Learning Distance Functions using Equivalence Relations
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SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
14 years 2 months ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
APAL
2010
124views more  APAL 2010»
13 years 9 months ago
The effective theory of Borel equivalence relations
The study of Borel equivalence relations under Borel reducibility has developed into an important area of descriptive set theory. The dichotomies of Silver ([19]) and Harrington-K...
Ekaterina B. Fokina, Sy-David Friedman, Asger T&ou...
COLT
2006
Springer
13 years 11 months ago
Can Entropic Regularization Be Replaced by Squared Euclidean Distance Plus Additional Linear Constraints
There are two main families of on-line algorithms depending on whether a relative entropy or a squared Euclidean distance is used as a regularizer. The difference between the two f...
Manfred K. Warmuth
CORR
2004
Springer
144views Education» more  CORR 2004»
13 years 9 months ago
The Google Similarity Distance
Words and phrases acquire meaning from the way they are used in society, from their relative semantics to other words and phrases. For computers the equivalent of `society' is...
Rudi Cilibrasi, Paul M. B. Vitányi
TIFS
2010
135views more  TIFS 2010»
13 years 4 months ago
Distance Metric Learning for Content Identification
This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in the database (DB) that m...
Dalwon Jang, Chang Dong Yoo, Ton Kalker