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NN
2002
Springer
107views Neural Networks» more  NN 2002»
15 years 2 months ago
Equivariant nonstationary source separation
Most of source separation methods focus on stationary sources, so higher-order statistics is necessary for successful separation, unless sources are temporally correlated. For non...
Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
NIPS
1994
15 years 4 months ago
A Non-linear Information Maximisation Algorithm that Performs Blind Separation
A new learning algorithmis derived which performs online stochastic gradient ascent in the mutual informationbetween outputs and inputs of a network. In the absence of a priori kn...
Anthony J. Bell, Terrence J. Sejnowski
JMLR
2006
105views more  JMLR 2006»
15 years 3 months ago
Linear State-Space Models for Blind Source Separation
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 28 days ago
Classification with Sums of Separable Functions
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
Jochen Garcke
ICSE
2003
IEEE-ACM
16 years 3 months ago
Separation in Theory - Coordination in Practice
The lack of a common language and mutual understanding between the disciplines of systems development/software engineering and HCI does create challenges for both teaching and pra...
Torkil Clemmensen, Jacob Nørbjerg