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SLS
2007
Springer
103views Algorithms» more  SLS 2007»
16 years 15 days ago
Designing and Tuning SLS Through Animation and Graphics: An Extended Walk-Through
Stochastic Local Search (SLS) is quite effective for a variety of Combinatorial (Optimization) Problems (COP). However, the performance of SLS depends on several factors and getti...
Steven Halim, Roland H. C. Yap
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
15 years 12 months ago
Game Theoretic Control for Robot Teams
— In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-ro...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
ICML
2009
IEEE
16 years 7 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
TVLSI
2008
176views more  TVLSI 2008»
15 years 6 months ago
A Fuzzy Optimization Approach for Variation Aware Power Minimization During Gate Sizing
Abstract--Technology scaling in the nanometer era has increased the transistor's susceptibility to process variations. The effects of such variations are having a huge impact ...
Venkataraman Mahalingam, N. Ranganathan, J. E. Har...
ORL
2006
87views more  ORL 2006»
15 years 6 months ago
SPAR: stochastic programming with adversarial recourse
We consider a general adversarial stochastic optimization model. Our model involves the design of a system that an adversary may subsequently attempt to destroy or degrade. We int...
Matthew D. Bailey, Steven M. Shechter, Andrew J. S...