Concept

Compound probability distribution

Related publications (99)

Estimating multiple filters from stereo mixtures: a double sparsity approach

We consider the problem of estimating multiple filters from convolutive mixtures of several unknown sources. We propose to exploit both the time-frequency (TF) sparsity of the sources and the sparsity of the mixing filters. Our framework consists of: a) a ...

2011

Collaborative learning of mixture models using diffusion adaptation

Ali H. Sayed

In large ad-hoc networks, classification tasks such as spam filtering, multi-camera surveillance, and advertising have been traditionally implemented in a centralized manner by means of fusion centers. These centers receive and process the information that ...

IEEE2011

The Kaldi Speech Recognition Toolkit

Petr Motlicek

We describe the design of Kaldi, a free, open-source toolkit for speech recognition research. Kaldi provides a speech recognition system based on finite-state transducers (using the freely available OpenFst), together with detailed documentation and script ...

IEEE Signal Processing Society2011

Learning Stable Non-Linear Dynamical Systems with Gaussian Mixture Models

Aude Billard, Seyed Mohammad Khansari Zadeh

This paper presents a method for learning discrete robot motions from a set of demonstrations. We model a motion as a nonlinear autonomous (i.e. time-invariant) Dynamical System (DS), and define sufficient conditions to ensure global asymptotic stability a ...

2011

Model misspecification in peaks over threshold analysis

Anthony Christopher Davison, Mária Süveges

Classical peaks over threshold analysis is widely used for statistical modeling of sample extremes, and can be supplemented by a model for the sizes of clusters of exceedances. Under mild conditions a compound Poisson process model allows the estimation of ...

2010

A Probabilistic Approach to Handle Missing Data for Multi-Sensory Activity Recognition

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Hesam Sagha

Context and activity recognition in complex scenarios is prone to data loss due to disconnections, sensor failure, transmission problems, etc. This generally implies significant changes in the recognition performance. In the case of classifier fusion fault ...

2010

Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models

Pinar Akyazi, Samuel Thomas

Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approach has been to use some kind of “universal phone set” that covers multiple lan ...

IEEE2010

Spanning traceroutes over modular networks and general scaling degree distributions

Andrea Rinaldo, Amos Maritan

We analyze the class of networks characterized by modular structure where a sequence of l Erdos-Renyi random networks of size N >> 1 with random average degrees is joined by links whose structure must remain immaterial. We find that traceroutes spanning th ...

American Physical Society2010

KL Realignment for Speaker Diarization with Multiple Feature Streams

Hervé Bourlard, Fabio Valente, Deepu Vijayasenan

This paper aims at investigating the use of Kullback-Leibler (KL) divergence based realignment with application to speaker diarization. The use of KL divergence based realignment operates directly on the speaker posterior distribution estimates and is comp ...

Idiap2010

Multichannel Compressed Sensing via Source Separation for Hyperspectral Images

Pierre Vandergheynst, Mohammad Golbabaee

This paper describes a novel framework for compressive sampling of multichannel signals that are highly correlated across the channels. In this work, we assume few number of independent sources are generating the multichannel observations based on a linear ...

2010

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