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GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
9 years 10 months ago
Reducing the space-time complexity of the CMA-ES
A limited memory version of the covariance matrix adaptation evolution strategy (CMA-ES) is presented. This algorithm, L-CMA-ES, improves the space and time complexity of the CMA-...
James N. Knight, Monte Lunacek
IROS
2007
IEEE
135views Robotics» more  IROS 2007»
9 years 10 months ago
Power-SLAM: A linear-complexity, consistent algorithm for SLAM
— In this paper, we present an Extended Kalman Filter (EKF)-based estimator for simultaneous localization and mapping (SLAM) with processing requirements that are linear in the n...
Esha D. Nerurkar, Stergios I. Roumeliotis
CEC
2007
IEEE
9 years 10 months ago
Covariance matrix repairing in Gaussian based EDAs
— Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs). In this paper, we analyze continuous EDAs and show that they don’t always work ...
Weishan Dong, Xin Yao
CVPR
2008
IEEE
9 years 10 months ago
Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
Recently, 2DPCA and its variants have attracted much attention in face recognition area. In this paper, some efforts are made to discover the underlying fundaments of these method...
Shiguang Shan, Bo Cao, Yu Su, Laiyun Qing, Xilin C...
KI
2009
Springer
9 years 10 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...
EMO
2009
Springer
159views Optimization» more  EMO 2009»
9 years 10 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
9 years 10 months ago
Revisiting uncertainty analysis for optimum planes extracted from 3D range sensor point-clouds
—In this work, we utilize a recently studied more accurate range noise model for 3D sensors to derive from scratch the expressions for the optimum plane which best fits a point-...
Kaustubh Pathak, Narunas Vaskevicius, Andreas Birk...
ICASSP
2009
IEEE
9 years 10 months ago
Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter
Reducing the number of secondary data used to estimate the Clutter Covariance Matrix (CCM) for Space Time Adaptive Processing (STAP) techniques is still an active research topic. ...
Guillaume Ginolhac, Philippe Forster, Jean Philipp...
CVPR
2009
IEEE
9 years 10 months ago
Sigma Set: A small second order statistical region descriptor
Given an image region of pixels, second order statistics can be used to construct a descriptor for object representation. One example is the covariance matrix descriptor, which sh...
Xiaopeng Hong, Hong Chang, Shiguang Shan, Xilin Ch...
ECCV
2002
Springer
10 years 5 months ago
Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
Anat Levin, Amnon Shashua
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