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CONNECTION
2006
14 years 10 months ago
2006
Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast, biological neural systems have predominantly local, non-symm...
IEAAIE
2010
Springer
14 years 8 months ago
2010
Springer
The present paper studies the influence of two distinct factors on the performance of some resampling strategies for handling imbalanced data sets. In particular, we focus on the n...
ICCV
2009
IEEE
14 years 8 months ago
2009
IEEE
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
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TROB
2011
14 years 5 months ago
2011
— This paper defines and analyzes a simple robot with local sensors that moves in an unknown polygonal environment. The robot can execute wall-following motions and can traverse...
FLAIRS
2004
15 years 1 days ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...