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» Semi-Supervised Dimensionality Reduction
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BMCBI
2011
14 years 4 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 4 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...
CORR
2010
Springer
109views Education» more  CORR 2010»
14 years 9 months ago
Polynomial Learning of Distribution Families
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
Mikhail Belkin, Kaushik Sinha
TIP
2008
134views more  TIP 2008»
14 years 9 months ago
Higher Order SVD Analysis for Dynamic Texture Synthesis
Videos representing flames, water, smoke, etc. are often defined as dynamic textures: "textures" because they are characterized by redundant repetition of a pattern and &...
Roberto Costantini, Luciano Sbaiz, Sabine Süs...
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SIAMMAX
2010
189views more  SIAMMAX 2010»
14 years 4 months ago
Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng