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ISVC
2007
Springer
14 years 4 months ago
Learning to Recognize Complex Actions Using Conditional Random Fields
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
Christopher I. Connolly
ESANN
2003
13 years 11 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
DIGITEL
2008
IEEE
14 years 4 months ago
Learning about Complexity with Modular Robots
We present progress with roBlocks, a reconfigurable modular robotic system for education. Children snap together small, magnetic, heterogeneous modules to create larger, more comp...
Eric Schweikardt, Mark D. Gross
IJVR
2008
134views more  IJVR 2008»
13 years 10 months ago
An Educational Virtual Scenario for Learning Chaos and Complexity Theories
Based on contemporary Chaos and Complexity Theories, ImaginationTOOLSTM is an innovative Virtual Reality (VR) software architecture which, by means of an agent-based interface, end...
Francesca Bertacchini, Eleonora Bilotta, Pietro Pa...