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JMLR
2006
105views more  JMLR 2006»
13 years 8 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
TASLP
2010
159views more  TASLP 2010»
13 years 3 months ago
Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model
This article addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each ...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
COMPSAC
2006
IEEE
14 years 2 months ago
An Approach for Developing Adaptive, Mobile Applications with Separation of Concerns
Modern mobile computing paradigms have set new challenges for the development of distributed mobile applications and services. Because of the variability which characterizes the c...
Nearchos Paspallis, George A. Papadopoulos
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 8 days ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
STOC
2012
ACM
242views Algorithms» more  STOC 2012»
11 years 11 months ago
Separating multilinear branching programs and formulas
This work deals with the power of linear algebra in the context of multilinear computation. By linear algebra we mean algebraic branching programs (ABPs) which are known to be com...
Zeev Dvir, Guillaume Malod, Sylvain Perifel, Amir ...