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» Dimensionality Reduction for Classification
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CLEIEJ
2008
97views more  CLEIEJ 2008»
15 years 2 months ago
A finite bidimensional wavelet framework for computer graphics: Image equalization
A lot of material has been written about wavelet theory. Most of these texts provide an elegant framework from the functional and real analysis point of view. The complete infinit...
Francisco Jose Benavides Murillo, Edgar Benavides ...
CORR
2010
Springer
65views Education» more  CORR 2010»
15 years 2 months ago
On Unconditionally Secure Computation with Vanishing Communication Cost
We propose a novel distortion-theoretic approach to a secure three-party computation problem. Alice and Bob have deterministic sequences, and Charlie wishes to compute a normalize...
Ye Wang, Shantanu Rane, Wei Sun, Prakash Ishwar
COLT
2010
Springer
14 years 12 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
BMCBI
2011
14 years 9 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
TMI
2011
127views more  TMI 2011»
14 years 9 months ago
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
Oleksii Vyacheslav Morozov, Michael Unser, Patrick...