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» CBR for Modeling Complex Systems
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NIPS
2000
15 years 8 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
IJON
2007
84views more  IJON 2007»
15 years 6 months ago
Modeling self-developing biological neural networks
Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
Hugues Berry, Olivier Temam
DEDS
2002
97views more  DEDS 2002»
15 years 6 months ago
N-dimensional Cell-DEVS Models
This article presents an extension to the timed binary Cell-DEVS paradigm. The goal is to allow the modelling of n-dimensional generic cell spaces, including transport or inertial...
Gabriel A. Wainer, Norbert Giambiasi
PC
2000
93views Management» more  PC 2000»
15 years 6 months ago
Scheduling outtrees of height one in the LogP model
The LogP model is a model of parallel computation that characterises a parallel computer system by four parameters: the latency L, the overhead o, the gap g and the number of proc...
Jacques Verriet
ICSE
2009
IEEE-ACM
15 years 4 months ago
Model Based Functional Testing Using Pattern Directed Filmstrips
Model driven functional system testing generates test scenarios from behavioural and structural models. In order to autmatically generate tests, conditions such as invariants and ...
Tony Clark