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» Domain Adaptation: A Small Sample Statistical Approach
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CORR
2011
Springer
219views Education» more  CORR 2011»
14 years 11 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
15 years 10 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
CAV
2009
Springer
187views Hardware» more  CAV 2009»
16 years 4 months ago
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Nathan Kitchen, Andreas Kuehlmann
CGF
1998
110views more  CGF 1998»
15 years 4 months ago
Adaptive Supersampling in Object Space Using Pyramidal Rays
We introduce a new approach to three important problems in ray tracing: antialiasing, distributed light sources, and fuzzy reflections of lights and other surfaces. For antialias...
Jon D. Genetti, Dan Gordon, G. Williams
FOGA
1994
15 years 5 months ago
The Schema Theorem and Price's Theorem
Holland's Schema Theorem is widely taken to be the foundation for explanations of the power of genetic algorithms (GAs). Yet some dissent has been expressed as to its implica...
Lee Altenberg