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MP
2011
13 years 3 months ago
2011
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
WIMOB
2008
IEEE
14 years 2 months ago
2008
IEEE
—In this paper, we propose two robust precoder designs for multiple-input multiple-output (MIMO) broadcast channels with imperfect channel state information (CSI). First, we cons...
EGC
2005
Springer
14 years 1 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
EVOW
2001
Springer
14 years 26 days ago
2001
Springer
Abstract. This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should b...
GIS
2009
ACM
14 years 7 days ago
2009
ACM
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...