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ICDAR
2003
IEEE
13 years 10 months ago
Confidence Evaluation for Combining Diverse Classifiers
For combining classifiers at measurement level, the diverse outputs of classifiers should be transformed to uniform measures that represent the confidence of decision, hopefully, ...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako
CONEXT
2007
ACM
13 years 7 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
TCS
1998
13 years 5 months ago
Dynamical Recognizers: Real-Time Language Recognition by Analog Computers
We consider a model of analog computation which can recognize various languages in real time. We encode an input word as a point in Rd by composing iterated maps, and then apply i...
Cristopher Moore
EURASIP
1990
13 years 9 months ago
Inversion in Time
Inversionof multilayersynchronous networks is a method which tries to answer questions like What kind of input will give a desired output?" or Is it possible to get a desired...
Sebastian Thrun, Alexander Linden
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
14 years 9 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu