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IJCNN
2007
IEEE
14 years 4 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
AMR
2003
Springer
179views Multimedia» more  AMR 2003»
14 years 3 months ago
Building User Models from Observations of Users Accessing Multimedia Learning Objects
Abstract. We report our work towards building user models of learner’s development based upon evidence of their interactions with an e-learning website composed of multimedia lea...
Judy Kay, Andrew Lum
ICCV
2009
IEEE
15 years 3 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
ICCV
2005
IEEE
14 years 4 months ago
Phase Field Models and Higher-Order Active Contours
The representation and modelling of regions is an important topic in computer vision. In this paper, we represent a region via a level set of a ‘phase field’ function. The fu...
Marie Rochery, Ian Jermyn, Josiane Zerubia
MIR
2003
ACM
147views Multimedia» more  MIR 2003»
14 years 3 months ago
Model checking for detection of sport highlights
Automatic semantic annotation of sports video requires that the domain knowledge is properly included and exploited in the annotation process and that low and intermediate-level f...
Marco Bertini, Alberto Del Bimbo, Walter Nunziati