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» Nonlinear Dynamical Multi-Scale Model of Associative Memory
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ICAISC
2010
Springer
15 years 2 months ago
Quasi-parametric Recovery of Hammerstein System Nonlinearity by Smart Model Selection
In the paper we recover a Hammerstein system nonlinearity. Hammerstein systems, incorporating nonlinearity and dynamics, play an important role in various applications, and e¤ecti...
Zygmunt Hasiewicz, Grzegorz Mzyk, Przemyslaw Sliwi...
CDC
2010
IEEE
147views Control Systems» more  CDC 2010»
14 years 4 months ago
Estimation of general nonlinear state-space systems
This paper presents a novel approach to the estimation of a general class of dynamic nonlinear system models. The main contribution is the use of a tool from mathematical statistic...
Brett Ninness, Adrian Wills, Thomas B. Schön
PAMI
2008
182views more  PAMI 2008»
14 years 9 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ICNP
1999
IEEE
15 years 1 months ago
Dynamic Memory Model Based Framework for Optimization of IP Address Lookup Algorithms
The design of software-based algorithms for fast IP address lookup targeted for general purpose processors has received tremendous attention in recent years due to its low cost im...
Gene Cheung, Steven McCanne
IJCNN
2006
IEEE
15 years 3 months ago
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
Igor Beliaev, Robert Kozma