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» Linear State-Space Models for Blind Source Separation
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NIPS
2008
13 years 9 months ago
The Infinite Factorial Hidden Markov Model
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani
IJON
2008
114views more  IJON 2008»
13 years 7 months ago
A robust model for spatiotemporal dependencies
Real-world data sets such as recordings from functional magnetic resonance imaging often possess both spatial and temporal structure. Here, we propose an algorithm including such ...
Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar...
IJCNN
2007
IEEE
14 years 2 months ago
FEBAM: A Feature-Extracting Bidirectional Associative Memory
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
Sylvain Chartier, Gyslain Giguère, Patrice ...
ICA
2007
Springer
14 years 1 months ago
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
In the paper we present new Alternating Least Squares (ALS) algorithms for Nonnegative Matrix Factorization (NMF) and their extensions to 3D Nonnegative Tensor Factorization (NTF) ...
Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari
NOLISP
2007
Springer
14 years 1 months ago
Phase-Based Methods for Voice Source Analysis
Voice source analysis is an important but difficult issue for speech processing. In this talk, three aspects of voice source analysis recently developed at LIMSI (Orsay, France) a...
Christophe d'Alessandro, Baris Bozkurt, Boris Dova...