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FOCS
2002
IEEE
16 years 19 days ago
Learning a Hidden Matching
We consider the problem of learning a matching (i.e., a graph in which all vertices have degree 0 or 1) in a model where the only allowed operation is to query whether a set of ve...
Noga Alon, Richard Beigel, Simon Kasif, Steven Rud...
ICCV
1999
IEEE
15 years 12 months ago
Geodesic Active Regions for Supervised Texture Segmentation
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
Nikos Paragios, Rachid Deriche
ITC
1994
IEEE
111views Hardware» more  ITC 1994»
15 years 11 months ago
Simulation Results of an Efficient Defect-Analysis Procedure
For obtaining a zero defect level, a high fault coverage with respect to the stuck-at fault model is often not sufficient as there are many defects that show a more complex behavi...
Olaf Stern, Hans-Joachim Wunderlich
NN
2008
Springer
15 years 7 months ago
Multilayer in-place learning networks for modeling functional layers in the laminar cortex
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue
STACS
2010
Springer
16 years 2 months ago
Ultimate Traces of Cellular Automata
A cellular automaton (CA) is a parallel synchronous computing model, which consists in a juxtaposition of finite automata (cells) whose state evolves according to that of their ne...
Julien Cervelle, Enrico Formenti, Pierre Guillon