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GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
15 years 1 months ago
Hierarchical Problem Solving and the Bayesian Optimization Algorithm
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
Martin Pelikan, David E. Goldberg
ICIP
2005
IEEE
15 years 11 months ago
Processing of textured surfaces represented as surfel sets: representation, compression and geodesic paths
A method for representation and lossy compression of textured surfaces is presented. The input surfaces are represented by surfels (surface elements), i.e., by a set of colored, o...
Tal Darom, Mauro R. Ruggeri, Dietmar Saupe, Nahum ...
ICML
2006
IEEE
15 years 10 months ago
Agnostic active learning
We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...
Maria-Florina Balcan, Alina Beygelzimer, John Lang...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 4 months ago
Estimation of fitness landscape contours in EAs
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
Petr Posík, Vojtech Franc
SMI
2005
IEEE
109views Image Analysis» more  SMI 2005»
15 years 3 months ago
Practical Spherical Embedding of Manifold Triangle Meshes
Gotsman et al. (SIGGRAPH 2003) presented the first method to generate a provably bijective parameterization of a closed genus-0 manifold mesh to the unit sphere. This involves the...
Shadi Saba, Irad Yavneh, Craig Gotsman, Alla Sheff...