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CGF
2005
252views more  CGF 2005»
15 years 6 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
JOI
2007
99views more  JOI 2007»
15 years 6 months ago
Measuring quality of similarity functions in approximate data matching
This paper presents a method for assessing the quality of similarity functions. The scenario taken into account is that of approximate data matching, in which it is necessary to d...
Roberto da Silva, Raquel Kolitski Stasiu, Viviane ...
TWC
2008
100views more  TWC 2008»
15 years 6 months ago
An Empirical Study on Time-Correlation of GSM Telephone Traffic
Abstract--In this paper, we investigate possible timecorrelation of answered call arrivals in sets of real GSM telephone traffic data. Instead of attempting to model the empirical ...
Stefano Bregni, Roberto Cioffi, Maurizio Decina
BMCBI
2004
108views more  BMCBI 2004»
15 years 6 months ago
Enhanced protein domain discovery using taxonomy
Background: It is well known that different species have different protein domain repertoires, and indeed that some protein domains are kingdom specific. This information has not ...
Lachlan James M. Coin, Alex Bateman, Richard Durbi...
DATAMINE
2002
125views more  DATAMINE 2002»
15 years 6 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...