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123
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CGF
2005
252views more  CGF 2005»
15 years 2 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...
257
Voted
ISBRA
2011
Springer
14 years 5 months ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao
118
Voted
ALT
2000
Springer
15 years 11 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
125
Voted
ECOOP
2007
Springer
15 years 8 months ago
Object-Relative Addressing: Compressed Pointers in 64-Bit Java Virtual Machines
64-bit address spaces come at the price of pointers requiring twice as much memory as 32-bit address spaces, resulting in increased memory usage. Increased memory usage is especia...
Kris Venstermans, Lieven Eeckhout, Koen De Bossche...
134
Voted
ISMIR
2005
Springer
166views Music» more  ISMIR 2005»
15 years 7 months ago
Song-Level Features and Support Vector Machines for Music Classification
Searching and organizing growing digital music collections requires automatic classification of music. This paper describes a new system, tested on the task of artist identifica...
Michael I. Mandel, Dan Ellis