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» Presenting Data from Experiments in Algorithmics
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ML
2010
ACM
163views Machine Learning» more  ML 2010»
15 years 2 months ago
Classification with guaranteed probability of error
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
Marco C. Campi
MM
2003
ACM
146views Multimedia» more  MM 2003»
16 years 16 days ago
Supporting timeliness and accuracy in distributed real-time content-based video analysis
Real-time content-based access to live video data requires content analysis applications that are able to process the video data at least as fast as the video data is made availab...
Viktor S. Wold Eide, Frank Eliassen, Ole-Christoff...
180
Voted
ANNPR
2008
Springer
15 years 8 months ago
Multi-class Vehicle Type Recognition System
This paper presents a framework for multiclass vehicle type (Make and Model) identification based on oriented contour points. A method to construct a model from several frontal ve...
Xavier Clady, Pablo Negri, Maurice Milgram, Raphae...
205
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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
16 years 1 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
180
Voted
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 1 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
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