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» A New Study on Distance Metrics as Similarity Measurement
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ACL
2006
13 years 10 months ago
Measuring Language Divergence by Intra-Lexical Comparison
This paper presents a method for building genetic language taxonomies based on a new approach to comparing lexical forms. Instead of comparing forms cross-linguistically, a matrix...
T. Mark Ellison, Simon Kirby
CORR
2010
Springer
157views Education» more  CORR 2010»
13 years 9 months ago
Efficient Clustering with Limited Distance Information
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model ...
Konstantin Voevodski, Maria-Florina Balcan, Heiko ...
TKDE
2008
148views more  TKDE 2008»
13 years 9 months ago
Semisupervised Clustering with Metric Learning using Relative Comparisons
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Nimit Kumar, Krishna Kummamuru
ICDE
2008
IEEE
125views Database» more  ICDE 2008»
14 years 10 months ago
MUSE: Multi-Represented Similarity Estimation
In modern multimedia databases, objects can be specified by a large variety of feature representations. In this paper, we present a novel technique for multi-represented similarity...
Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin,...
ICDE
2007
IEEE
106views Database» more  ICDE 2007»
14 years 3 months ago
Mining Trajectory Databases via a Suite of Distance Operators
With the rapid progress of mobile devices and positioning technologies, Trajectory Databases (TD) have been in the core of database research during the last decade. Analysis and k...
Nikos Pelekis, Ioannis Kopanakis, Irene Ntoutsi, G...