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WCE
2007
15 years 7 months ago
Dynamic Behaviour and Significance of Neuron Networks with Varying Degrees of Random Coupling
—Networks of coupled dynamical systems exhibit many interesting behaviours such as spatio-temporal chaos, pattern formation and synchronization. Such networks can be used to mode...
Bijilash Babu, Marissa Condon
IJON
2007
109views more  IJON 2007»
15 years 6 months ago
Monophonic sound source separation with an unsupervised network of spiking neurones
We incorporate auditory-based features into an unconventional pattern classification system, consisting of a network of spiking neurones with dynamical and multiplicative synapse...
Ramin Pichevar, Jean Rouat
ICCV
2003
IEEE
16 years 8 months ago
A Bayesian Network Framework for Relational Shape Matching
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...
ICASSP
2009
IEEE
16 years 27 days ago
Voice conversion using Artificial Neural Networks
In this paper, we propose to use Artificial Neural Networks (ANN) for voice conversion. We have exploited the mapping abilities of ANN to perform mapping of spectral features of ...
Srinivas Desai, E. Veera Raghavendra, B. Yegnanara...
ISCC
2008
IEEE
135views Communications» more  ISCC 2008»
16 years 17 days ago
Analysis of compressed depth and image streaming on unreliable networks
This paper explores the issues connected to the transmission of three dimensional scenes over unreliable networks such as the wireless ones. It analyzes the effect of the loss of ...
Pietro Zanuttigh, Andrea Zanella, Guido M. Cortela...