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ICA
2004
Springer
14 years 26 days ago
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
Alexander Ilin, Antti Honkela
ICML
2007
IEEE
14 years 8 months ago
Nonlinear independent component analysis with minimal nonlinear distortion
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
Kun Zhang, Laiwan Chan
COCOON
2009
Springer
14 years 2 months ago
A Polynomial-Time Perfect Sampler for the Q-Ising with a Vertex-Independent Noise
We present a polynomial-time perfect sampler for the Q-Ising with a vertex-independent noise. The Q-Ising, one of the generalized models of the Ising, arose in the context of Baye...
Masaki Yamamoto, Shuji Kijima, Yasuko Matsui
ICPR
2010
IEEE
13 years 5 months ago
Signal-to-Signal Ratio Independent Speaker Identification for Co-channel Speech Signals
In this paper, we consider speaker identification for the co-channel scenario in which speech mixture from speakers is recorded by one microphone only. The goal is to identify both...
Rahim Saeidi, Pejman Mowlaee, Tomi Kinnunen, Zheng...
FLAIRS
2006
13 years 9 months ago
A Hybrid Generative/Discriminative Bayesian Classifier
In this paper, we introduce a new restricted Bayesian network classifier that extends naive Bayes by relaxing the conditional independence assumptions, and show that it is partly ...
Changsung Kang, Jin Tian