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UAI
1996
13 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
NPAR
2010
ACM
13 years 7 months ago
Viewing progress in non-photorealistic rendering through Heinlein's lens
The field of non-photorealistic rendering is reaching a mature state. In its infancy, researchers explored the mimicry of methods and tools used by traditional artists to generate...
Amy Ashurst Gooch, Jeremy Long, Li Ji, Anthony Est...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 7 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
CGF
2008
103views more  CGF 2008»
13 years 7 months ago
Image-based Shaving
Many categories of objects, such as human faces, can be naturally viewed as a composition of several different layers. For example, a bearded face with glasses can be decomposed i...
Minh Hoai Nguyen, Jean-François Lalonde, Al...
CORR
2010
Springer
66views Education» more  CORR 2010»
13 years 7 months ago
Certifying cost annotations in compilers
We discuss the problem of building a compiler which can lift in a provably correct way pieces of information on the execution cost of the object code to cost annotations on the so...
Roberto M. Amadio, Nicholas Ayache, Yann Ré...