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» Learning Generalized Plans Using Abstract Counting
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IJCNN
2006
IEEE
14 years 2 months ago
Backpropagation for Population-Temporal Coded Spiking Neural Networks
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
Benjamin Schrauwen, Jan M. Van Campenhout
TROB
2008
207views more  TROB 2008»
13 years 8 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
CVIU
2006
317views more  CVIU 2006»
13 years 8 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
SIGCSE
2009
ACM
139views Education» more  SIGCSE 2009»
14 years 9 months ago
Abstraction and extensibility in digital logic simulation software
ion and Extensibility in Digital Logic Simulation Software Richard M. Salter and John L. Donaldson Computer Science Department Oberlin College Oberlin, OH 44074 rms@cs.oberlin.edu,...
Richard M. Salter, John L. Donaldson
PERCOM
2004
ACM
14 years 8 months ago
Proselytizing Pervasive Computing Education: A Strategy and Approach Influenced by Human-Computer Interaction
A course on pervasive computing should be structured around key functions throughout a systems development process to cover common underlying concerns throughout science and engin...
D. Scott McCrickard, Christa M. Chewar