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APN
2007
Springer
16 years 25 days ago
Markov Decision Petri Net and Markov Decision Well-Formed Net Formalisms
In this work, we propose two high-level formalisms, Markov Decision Petri Nets (MDPNs) and Markov Decision Well-formed Nets (MDWNs), useful for the modeling and analysis of distrib...
Marco Beccuti, Giuliana Franceschinis, Serge Hadda...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
16 years 25 days ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
CVPR
2006
IEEE
16 years 22 days ago
Robust multi-target tracking using spatio-temporal context
In multi-target tracking, the maintaining of the correct identity of targets is challenging. In the presented tracking method, accurate target identification is achieved by incor...
Hieu Tat Nguyen, Qiang Ji, Arnold W. M. Smeulders
SMA
2005
ACM
109views Solid Modeling» more  SMA 2005»
16 years 6 days ago
Numerical decomposition of geometric constraints
Geometric constraint solving is a key issue in CAD/CAM. Since Owen’s seminal paper, solvers typically use graph based decomposition methods. However, these methods become diffi...
Sebti Foufou, Dominique Michelucci, Jean-Paul Jurz...
MLDM
2005
Springer
16 years 4 days ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater