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» Sampling Techniques for Kernel Methods
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ICIP
2005
IEEE
14 years 7 months ago
Sampling schemes for 2-D signals with finite rate of innovation using kernels that reproduce polynomials
In this paper, we propose new sampling schemes for classes of 2-D signals with finite rate of innovation (FRI). In particular, we consider sets of 2-D Diracs and bilevel polygons....
Pancham Shukla, Pier Luigi Dragotti
ICPR
2006
IEEE
14 years 6 months ago
Graph-based transformation manifolds for invariant pattern recognition with kernel methods
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
Alexei Pozdnoukhov, Samy Bengio
ALT
2003
Springer
14 years 2 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang
IJON
2002
112views more  IJON 2002»
13 years 5 months ago
Kernel methods: a survey of current techniques
Kernel methods have become an increasingly popular tool for machine learning tasks such as classi
Colin Campbell
DATE
2008
IEEE
226views Hardware» more  DATE 2008»
13 years 12 months ago
A General Method to Evaluate RF BIST Techniques Based on Non-parametric Density Estimation
Abstract— We present a general method to evaluate RF BuiltIn Self-Test (BIST) techniques during the design stage. In particular, the adaptive kernel estimator is used to construc...
Haralampos-G. D. Stratigopoulos, Jeanne Tongbong, ...