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CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 6 months ago
Interference Alignment as a Rank Constrained Rank Minimization
Abstract--We show that the maximization of the sum degreesof-freedom for the static flat-fading multiple-input multipleoutput (MIMO) interference channel is equivalent to a rank co...
Dimitris S. Papailiopoulos, Alexandros G. Dimakis
AUSAI
2009
Springer
13 years 9 months ago
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems
Regressions has successfully been incorporated into memetic algorithm (MA) to build surrogate models for the objective or constraint landscape of optimization problems. This helps ...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
CVPR
2003
IEEE
14 years 8 months ago
Constrained Subspace Modelling
When performing subspace modelling of data using Principal Component Analysis (PCA) it may be desirable to constrain certain directions to be more meaningful in the context of the...
Jaco Vermaak, Patrick Pérez
PG
2007
IEEE
14 years 13 days ago
Image-Space Caustics and Curvatures
Caustics are important visual phenomena, as well as challenging global illumination effects in computer graphics. Physically caustics can be interpreted from one of two perspectiv...
Xuan Yu, Feng Li, Jingyi Yu
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
13 years 11 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf