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ICANN
2003
Springer
15 years 11 months ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
ICML
2000
IEEE
15 years 11 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
DAGM
1999
Springer
15 years 11 months ago
A Total Least Squares Framework for Low-Level Analysis of Dynamic Scenes and Processes
Abstract. We present a new method to simultaneously estimate optical flow fields and parameters of dynamic processes, violating the standard brightness change constraint equation...
Horst W. Haussecker, Christoph S. Garbe, Hagen Spi...
ISCOPE
1999
Springer
15 years 11 months ago
SIFFEA: Scalable Integrated Framework for Finite Element Analysis
SIFFEA is an automated system for parallel nite element method (PFEM) with unstructured meshes on distributed memory machines. It synthesizes mesh generator, mesh partitioner, line...
Xiangmin Jiao, Xiang-Yang Li, Xiaosong Ma
CAIP
1997
Springer
161views Image Analysis» more  CAIP 1997»
15 years 10 months ago
A Framework for Feature-Based Motion Recovery in Ground Plane Vehicle Navigation
This paper describes a feature point matching strategy and motion recovery applied to vehicle navigation. A transformation of the image plane is used that keeps the motion of the v...
José M. Sanchiz, Filiberto Pla, John A. Mar...