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» Understanding Statistical Disclosure: A Least Squares Approa...
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102
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SADM
2008
178views more  SADM 2008»
14 years 11 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
SIGIR
1995
ACM
15 years 3 months ago
Noise Reduction in a Statistical Approach to Text Categorization
This paper studies noise reduction for computational efficiency improvements in a statistical learning method for text categorization, the Linear Least Squares Fit (LLSF) mapping...
Yiming Yang
91
Voted
ICIP
2004
IEEE
16 years 1 months ago
A set theoretic approach to target detection using spectral signature statistics
Pixels in hyperspectral images usually contain spectra from several classifiable objects, so that the recorded pixel is a mixture of the classes. Current methods estimate the prop...
David M. Rouse, H. Joel Trussell
103
Voted
EOR
2006
113views more  EOR 2006»
14 years 11 months ago
Validation of regression metamodels in simulation: Bootstrap approach
Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
Jack P. C. Kleijnen, David Deflandre
108
Voted
ISCAS
2007
IEEE
241views Hardware» more  ISCAS 2007»
15 years 6 months ago
Image Denoising using Shiftable Directional Pyramid and Scale Mixtures of Complex Gaussians
— In this paper, a modified version of the complex directional pyramid (PDTDFB) is proposed. Unlike the previous approach, the new FB provides an approximately tight-frame decom...
An P. N. Vo, Truong T. Nguyen, Soontorn Oraintara