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» Fast computation with neural oscillators
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NCA
2008
IEEE
13 years 9 months ago
The application of ridge polynomial neural network to multi-step ahead financial time series prediction
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsi...
PAMI
2007
138views more  PAMI 2007»
13 years 9 months ago
A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation
—We have previously developed a neurodynamical model of motion segregation in cortical visual area V1 and MT of the dorsal stream. The model explains how motion ambiguities cause...
Pierre Bayerl, Heiko Neumann
CIMCA
2005
IEEE
14 years 3 months ago
Oscillatory neural network for adaptive dynamical image processing
We develop a biologically motivated oscillatory network model and related dynamical synchronizationbased method of image segmentation. The first version of successive segmentation...
Margarita Kuzmina, Edward A. Manykin
SIGGRAPH
1998
ACM
14 years 2 months ago
NeuroAnimator: Fast Neural Network Emulation and Control of Physics-based Models
Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E....
ICCAD
2000
IEEE
110views Hardware» more  ICCAD 2000»
14 years 2 months ago
Computing Phase Noise Eigenfunctions Directly from Steady-State Jacobian Matrices
The main effort in oscillator phase noise calculation lies in computing a vector function called the Perturbation Projection Vector (PPV). Current techniques for PPV calculation u...
Alper Demir, David E. Long, Jaijeet S. Roychowdhur...