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GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 9 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
CVPR
2012
IEEE
13 years 8 months ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 11 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...
143
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ICCAD
1998
IEEE
76views Hardware» more  ICCAD 1998»
15 years 10 months ago
Functional debugging of systems-on-chip
Due to the exponential growth of both design complexity and the number of gates per pin, functional debugging has emerged as a critical step in the development of a system-on-chip...
Darko Kirovski, Miodrag Potkonjak, Lisa M. Guerra
ICIP
2006
IEEE
16 years 7 months ago
A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation
This study investigates a new multiphase minimization scheme which embeds a simple, efficient partition constraint directly in multiple level set evolution. Starting from an arbit...
Ismail Ben Ayed, Amar Mitiche