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» Combining Estimators Using Non-Constant Weighting Functions
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CSDA
2006
91views more  CSDA 2006»
15 years 1 months ago
Model-based cluster and discriminant analysis with the MIXMOD software
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
Christophe Biernacki, Gilles Celeux, Gérard...
96
Voted
ICIP
2009
IEEE
14 years 11 months ago
A sensor-based approach to linear blur identification for real-time video enhancement
Super-resolution (SR) methods are largely affected by the accurate evaluation of the Point Spread Function (PSF) that is related to the input frames. When the frames are degraded ...
Maria E. Angelopoulou, Christos-Savvas Bouganis, P...
ISM
2008
IEEE
110views Multimedia» more  ISM 2008»
15 years 8 months ago
A Hardware-Independent Fast Logarithm Approximation with Adjustable Accuracy
Many multimedia applications rely on the computation of logarithms, for example, when estimating log-likelihoods for Gaussian Mixture Models. Knowing of the demand to compute loga...
Oriol Vinyals, Gerald Friedland
103
Voted
BMCBI
2004
127views more  BMCBI 2004»
15 years 1 months ago
Optimized LOWESS normalization parameter selection for DNA microarray data
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...
BMCBI
2008
177views more  BMCBI 2008»
15 years 2 months ago
Baseline Correction for NMR Spectroscopic Metabolomics Data Analysis
Background: We propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of b...
Yuanxin Xi, David M. Rocke