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ANNPR
2006
Springer
13 years 8 months ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe
GECCO
2010
Springer
230views Optimization» more  GECCO 2010»
13 years 9 months ago
Exponential natural evolution strategies
The family of natural evolution strategies (NES) offers a principled approach to real-valued evolutionary optimization by following the natural gradient of the expected fitness....
Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wiers...
ECCV
2010
Springer
13 years 9 months ago
Fast Covariance Computation and Dimensionality Reduction for Sub-Window Features in Images
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
ICVS
2003
Springer
13 years 9 months ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock
ICCSA
2003
Springer
13 years 9 months ago
Efficient Speaker Identification Based on Robust VQ-PCA
Abstract. In this paper, an efficient speaker identification based on robust vector quantization principal component analysis (VQ-PCA) is proposed to solve the problems from outlie...
Younjeong Lee, Joohun Lee, Ki Yong Lee
PPSN
2004
Springer
13 years 10 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke
ICANN
2005
Springer
13 years 10 months ago
Training of Support Vector Machines with Mahalanobis Kernels
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
Shigeo Abe
COLT
2005
Springer
13 years 10 months ago
On Spectral Learning of Mixtures of Distributions
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
Dimitris Achlioptas, Frank McSherry
SIBGRAPI
2005
IEEE
13 years 10 months ago
True Factor Analysis in Medical Imaging: Dealing with High-Dimensional Spaces
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
Alexei Manso Correa Machado
ICRA
2005
IEEE
121views Robotics» more  ICRA 2005»
13 years 10 months ago
Optimal Formations for Cooperative Localization of Mobile Robots
— This paper studies the effects of the geometry of a mobile robot formation on the accuracy of the robots’ localization. The general case of heterogeneous (in terms of sensor ...
Yukikazu S. Hidaka, Anastasios I. Mourikis, Stergi...