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» Approximate Learning of Dynamic Models
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NECO
2008
114views more  NECO 2008»
15 years 4 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
IJON
2002
154views more  IJON 2002»
15 years 4 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
KI
2007
Springer
15 years 11 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
ICIP
2003
IEEE
16 years 6 months ago
Text to visual synthesis with appearance models
This paper presents a new method named text to visual synthesis with appearance models (TEVISAM) for generating videorealistic talking heads. In a first step, the system learns a ...
Javier Melenchón, Fernando De la Torre, Ign...
141
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EUROCAST
2003
Springer
130views Hardware» more  EUROCAST 2003»
15 years 10 months ago
A Model of Neural Inspiration for Local Accumulative Computation
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge ...
José Mira, Miguel Angel Fernández, M...