Publications related to Independent component analysis

A low complexity orthogonal matching pursuit for sparse signal approximation with shift-invariant dictionaries

We propose a variant of Orthogonal Matching Pursuit (OMP), called LoCOMP, for scalable sparse signal approximation. The algorithm is designed for shift- invariant signal dictionaries with localized atoms, such as time-frequency dictionaries, and achieves a ...

2009

An online Hebbian learning rule that performs Independent Component Analysis

Wulfram Gerstner, Claudia Clopath, André Longtin

Independent component analysis (ICA) is a powerful method to decouple signals. Most of the algorithms performing ICA do not consider the temporal correlations of the signal, but only higher moments of its amplitude distribution. Moreover, they require some ...

MIT Press2008

Tracking Articulated Bodies using Generalized Expectation Maximization

Pascal Fua, Andrea Fossati

A generalized expectation maximization (GEM) algorithm is used to retrieve the pose of a person from a monocular video sequence shot with a moving camera. After embedding the set of possible poses in a low dimensional space using principal component analys ...

2008

Spike detection algorithm improvement, spike waveforms projections with PCA and hierarchical classification

Diego Ghezzi

Definition of single spikes from multiunit spike trains plays a critical role in neurophysiology and in neuroengineering. Moreover, long period analysis are needed to study synaptic plasticity effects and observe the long and medium term development on whi ...

IEEE2008

Sparsity-based Source Separation with Scale-Discretized Steerable Wavelets

Pierre Vandergheynst, Yves Wiaux

In this talk, we discuss the issue of source separation in a signal on the sphere or on the plane, relying on the sparsity of one signal component in a scale-discretized steerable wavelet basis. The steerability of wavelets allows to probe in detail the lo ...

2008

SENSITIVITY OF RISK INDICATORS UNDER MOTORWAY TRAFFIC REGIMES CLUSTERED BY SELF-ORGANIZING MAP

André-Gilles Dumont, Edward Chung, Minh Hai Pham

In this paper, we present a method for determining motorway traffic regimes where the sensitivity of motorway crash risk indicators could be better understood. Motorway crashes are usually severe. If the crash risk could be monitored, it would be possible ...

2008

Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper provides new results on computing simultaneous sparse approximations of multichannel signals over redundant dictionaries using two greedy algorithms. The first one, p-thresholding, selects the S atoms that have the largest

p

-correlation while ...

2008

A Neural Network based Regression Approach for Recognizing Simultaneous Speech

Hervé Bourlard, John David Scott Dines, Weifeng Li

This paper presents our approach for automatic speech recognition (ASR) of overlapping speech. Our system consists of two principal components: a speech separation component and a feature estmation component. In the speech separation phase, we first estima ...

IDIAP2008

Efficient Data Flow Variable Length Decoding Implementation for the MPEG Reconfigurable Video Coding Framework

Marco Mattavelli, Christophe Lucarz, Stephan Keller

In 2004, ISO/IEC SC29 better known as MPEG started a new standard initiative aiming at facilitating the deployment of multi-format video codec design and to enable the possibility of reconfiguring video codecs using a library of standard components. The ne ...

IEEE2008

Video Decoder Reconfigurations and AVS Extensions in the New MPEG Reconfigurable Video Coding Framework

Marco Mattavelli, Christophe Lucarz, Lu Yu

In 2004, ISO/IEC SC29 better known as MPEG started a new standard initiative aiming at facilitating the deployment of multi-format video codec design and to enable the possibility of reconfiguring video codecs using a library of standard components. The ne ...

2008

Independent component analysis

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A low complexity orthogonal matching pursuit for sparse signal approximation with shift-invariant dictionaries

An online Hebbian learning rule that performs Independent Component Analysis

Tracking Articulated Bodies using Generalized Expectation Maximization

Spike detection algorithm improvement, spike waveforms projections with PCA and hierarchical classification

Sparsity-based Source Separation with Scale-Discretized Steerable Wavelets

SENSITIVITY OF RISK INDICATORS UNDER MOTORWAY TRAFFIC REGIMES CLUSTERED BY SELF-ORGANIZING MAP

Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms

A Neural Network based Regression Approach for Recognizing Simultaneous Speech

Efficient Data Flow Variable Length Decoding Implementation for the MPEG Reconfigurable Video Coding Framework

Video Decoder Reconfigurations and AVS Extensions in the New MPEG Reconfigurable Video Coding Framework

A Neural Network based Regression Approach for Recognizing Simultaneous Speech

Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms

An online Hebbian learning rule that performs Independent Component Analysis

Spike detection algorithm improvement, spike waveforms projections with PCA and hierarchical classification

A low complexity orthogonal matching pursuit for sparse signal approximation with shift-invariant dictionaries

Tracking Articulated Bodies using Generalized Expectation Maximization

SENSITIVITY OF RISK INDICATORS UNDER MOTORWAY TRAFFIC REGIMES CLUSTERED BY SELF-ORGANIZING MAP

Sparsity-based Source Separation with Scale-Discretized Steerable Wavelets

Efficient Data Flow Variable Length Decoding Implementation for the MPEG Reconfigurable Video Coding Framework

Video Decoder Reconfigurations and AVS Extensions in the New MPEG Reconfigurable Video Coding Framework