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UAI
2000
14 years 6 days ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
ICASSP
2011
IEEE
13 years 2 months ago
Shannon meets Nyquist: Capacity limits of sampled analog channels
We explore several fundamental questions at the intersection of sampling theory and information theory. In particular, we study how capacity is affected by a given sampling mechan...
Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith
GECCO
2000
Springer
14 years 2 months ago
Sampling Bias and Search Space Boundary Extension in Real Coded Genetic Algorithms
In Real coded genetic algorithms, some crossover operators do not work well on functions which have their optimum at the corner of the search space. To cope with this problem, we ...
Shigeyoshi Tsutsui
ICPR
2006
IEEE
14 years 12 months ago
Face Recognition Robust to Head Pose from One Sample Image
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...
Brian C. Lovell, Shaokang Chen, Ting Shan
IRI
2003
IEEE
14 years 4 months ago
The Sampling Analysis Pattern
— Sampling is a general concept that has many applications in various domains. The idea of representing sampling as a pattern is to guarantee a reusable core. The stable sampling...
Huáscar A. Sánchez, Mohamed E. Fayad...