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» Labels from Reductions: Towards a General Theory
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ALT
2009
Springer
15 years 9 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
IANDC
2006
103views more  IANDC 2006»
15 years 6 months ago
Bisimulation and cocongruence for probabilistic systems
We introduce a new notion of bisimulation, called event bisimulation on labelled Markov processes (LMPs) and compare it with the, now standard, notion of probabilistic bisimulatio...
Vincent Danos, Josee Desharnais, François L...
CCS
2004
ACM
15 years 11 months ago
Comparing the expressive power of access control models
Comparing the expressive power of access control models is recognized as a fundamental problem in computer security. Such comparisons are generally based on simulations between di...
Mahesh V. Tripunitara, Ninghui Li
173
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SIGGRAPH
1996
ACM
15 years 10 months ago
Consequences of Stratified Sampling in Graphics
Antialiased pixel values are often computed as the mean of N point samples. Using uniformly distributed random samples, the central limit theorem predicts a variance of the mean o...
Don P. Mitchell
MICCAI
1999
Springer
15 years 10 months ago
Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation
Interpolation is required in many medical image processing operations. From sampling theory, it follows that the ideal interpolation kernel is the sinc function, which is of infin...
Erik H. W. Meijering, Wiro J. Niessen, Josien P. W...