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127
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FLAIRS
2009
15 years 2 months ago
2009
A neural net with multiple output nodes is capable of distinguishing among a set of related input classes even in the absence of training. It can do so with an accuracy that is ma...
175
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
142
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CVPR
2010
IEEE
16 years 16 days ago
2010
IEEE
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
141
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
131
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LREC
2010
15 years 5 months ago
2010
This paper describes a new language resource of events and semantic roles that characterize real-world situations. Narrative schemas contain sets of related events (edit and publi...