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GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 4 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
OOPSLA
2010
Springer
14 years 11 months ago
Cross-language, type-safe, and transparent object sharing for co-located managed runtimes
As software becomes increasingly complex and difficult to analyze, it is more and more common for developers to use high-level, type-safe, object-oriented (OO) programming langua...
Michal Wegiel, Chandra Krintz
116
Voted
CVPR
1999
IEEE
16 years 2 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
CVPR
2004
IEEE
16 years 2 months ago
Tomographic Reconstruction of Piecewise Smooth Images
In computed tomography, direct inversion of the Radon transform requires more projections than are practical due to constraints in scan time and image accessibility. Therefore, it...
Christopher V. Alvino, Anthony J. Yezzi Jr.
136
Voted
EELC
2006
128views Languages» more  EELC 2006»
15 years 4 months ago
Evolving Distributed Representations for Language with Self-Organizing Maps
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Simon D. Levy, Simon Kirby