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» Kernel Basis Pursuit
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NIPS
2003
13 years 11 months ago
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression
Nonlinear filtering can solve very complex problems, but typically involve very time consuming calculations. Here we show that for filters that are constructed as a RBF network ...
Roland Vollgraf, Michael Scholz, Ian A. Meinertzha...
TNN
2008
128views more  TNN 2008»
13 years 9 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
ADCM
2011
13 years 4 months ago
The missing Wendland functions
Abstract: The Wendland radial basis functions [8, 9] are piecewise polynomial compactly supported reproducing kernels in Hilbert spaces which are norm–equivalent to Sobolev space...
Robert Schaback
CVPR
2008
IEEE
14 years 12 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic
DATE
2008
IEEE
165views Hardware» more  DATE 2008»
14 years 4 months ago
TinyTimber, Reactive Objects in C for Real-Time Embedded Systems
Embedded systems are often operating under hard real-time constraints. Such systems are naturally described as time-bound reactions to external events, a point of view made manife...
Per Lindgren, Johan Eriksson, Simon Aittamaa, Joha...