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» Optimal Solutions for Sparse Principal Component Analysis
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97
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BMVC
2010
14 years 4 months ago
"How old are you?" : Age Estimation with Tensors of Binary Gaussian Receptive Maps
In this paper we describe experiments with a method to automatically estimate human age from facial images. This system extends recent results with the use of a tensorial represen...
John A. Ruiz-Hernandez, James L. Crowley, Augustin...
DMIN
2006
126views Data Mining» more  DMIN 2006»
14 years 11 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
74
Voted
SIAMSC
2010
127views more  SIAMSC 2010»
14 years 8 months ago
A Nonlinear Optimization Procedure for Generalized Gaussian Quadratures
We present a new nonlinear optimization procedure for the computation of generalized Gaussian quadratures for a broad class of square integrable functions on intervals. While some ...
James Bremer, Zydrunas Gimbutas, Vladimir Rokhlin
SIAMIS
2010
190views more  SIAMIS 2010»
14 years 4 months ago
Analysis and Generalizations of the Linearized Bregman Method
This paper analyzes and improves the linearized Bregman method for solving the basis pursuit and related sparse optimization problems. The analysis shows that the linearized Bregma...
Wotao Yin
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 11 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler