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» The Dark Side of Object Learning: Learning Objects
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IJCNN
2007
IEEE
14 years 3 months ago
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory
— In the process of learning a pattern I, the Fuzzy ARTMAP algorithm templates (i.e., the weight vectors corresponding to nodes of its category representation layer) compete for ...
José Castro, Michael Georgiopoulos, Jimmy S...
ECOOPW
1999
Springer
14 years 1 months ago
Deriving Object-Oriented Frameworks from Domain Knowledge
Although a considerable number of successful frameworks have been developed during the last decade, designing a high-quality framework is still a difficult task. Generally, it is ...
Mehmet Aksit
TSP
2011
197views more  TSP 2011»
13 years 4 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
CVPR
2010
IEEE
14 years 5 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
IROS
2007
IEEE
147views Robotics» more  IROS 2007»
14 years 3 months ago
Autonomous learning of 3D reaching in a humanoid robot
— In this paper, we describe the implementation of a precise reaching controller on an upper-torso humanoid robot. The solution we propose does not rely on prior models of the ki...
Francesco Nori, Lorenzo Natale, Giulio Sandini, Gi...