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» Invariances in kernel methods: From samples to objects
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SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
14 years 4 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
CGF
2007
112views more  CGF 2007»
13 years 7 months ago
Shape-aware Volume Illustration
We introduce a novel volume illustration technique for regularly sampled volume datasets. The fundamental difference between previous volume illustration algorithms and ours is th...
Wei Chen, Aidong Lu, David S. Ebert
SCFBM
2008
104views more  SCFBM 2008»
13 years 7 months ago
A Perl toolkit for LIMS development
Background: High throughput laboratory techniques generate huge quantities of scientific data. Laboratory Information Management Systems (LIMS) are a necessary requirement, dealin...
James A. Morris, Simon A. Gayther, Ian J. Jacobs, ...
PAMI
1998
131views more  PAMI 1998»
13 years 7 months ago
Characterization of Neuropathological Shape Deformations
—We present a framework for analyzing the shape deformation of structures within the human brain. A mathematical model is developed describing the deformation of any brain struct...
John Martin, Alex Pentland, Stan Sclaroff, Ron Kik...
BMCBI
2010
155views more  BMCBI 2010»
13 years 7 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe