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TOG
2012
273views Communications» more  TOG 2012»
12 years 16 days ago
Functional maps: a flexible representation of maps between shapes
We present a novel representation of maps between pairs of shapes that allows for efficient inference and manipulation. Key to our approach is a generalization of the notion of m...
Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, ...
CVPR
2012
IEEE
12 years 16 days ago
Nonlinear camera response functions and image deblurring
This paper investigates the role that nonlinear camera response functions (CRFs) have on image deblurring. In particular, we show how nonlinear CRFs can cause a spatially invarian...
Sunyeong Kim, Yu-Wing Tai, Seon Joo Kim, Michael S...
GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
14 years 3 months ago
Predicate Expression Cost Functions to Guide Evolutionary Search for Test Data
Several researchers are using evolutionary search methods to search for test data with which to test a program. The fitness or cost function depends on the test goal but almost in...
Leonardo Bottaci
AMC
2010
115views more  AMC 2010»
13 years 10 months ago
The probability density function to the random linear transport equation
: We present a formula to calculate the probability density function of the solution of the random linear transport equation in terms of the density functions of the velocity and t...
L. T. Santos, Fábio Antonio Dorini, Maria C...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 3 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste