Publications associées à Variational Bayesian methods

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Linear Gaussian State-Space Models are widely used and a Bayesian treatment of parameters is therefore of considerable interest. The approximate Variational Bayesian method applied to these models is an attractive approach, used successfully in application ...

2006

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Silvia Chiappa

Linear Gaussian State-Space Models are widely used and a Bayesian treatment of parameters is therefore of considerable interest. The approximate Variational Bayesian method applied to these models is an attractive approach, used successfully in application ...

IDIAP2006

Audio-visual probabilistic tracking of multiple speakers in meetings

Daniel Gatica-Perez, Jean-Marc Odobez, Guillaume Lathoud

Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track the location and speaking activity of multiple speakers in a multisensor meetin ...

2006

Exploring Contextual Information in a Layered Framework for Group Action Recognition

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often unrealistic assumptions on the conditional independence of observations given ...

2006

Exploring Contextual Information in a Layered Framework for Group Action Recognition

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often unrealistic assumptions on the conditional independence of observations given ...

IDIAP2006

Multimodal Multispeaker Probabilistic Tracking in Meetings

Daniel Gatica-Perez, Jean-Marc Odobez, Guillaume Lathoud

Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track the location and speaking activity of multiple speakers in a multisensor meetin ...

2005

Audio-visual probabilistic tracking of multiple speakers in meetings

Daniel Gatica-Perez, Jean-Marc Odobez, Guillaume Lathoud

Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track the location and speaking activity of multiple speakers in a multisensor meetin ...

IDIAP2005

Hierarchical Multi-Stream Posterior Based Speech Recognition System

Hervé Bourlard, Samy Bengio, Hamed Ketabdar

In this paper, we present initial results towards boosting posterior based speech recognition systems by estimating more informative posteriors using multiple streams of features and taking into account acoustic context (e.g., as available in the whole utt ...

2005

Hierarchical Multi-Stream Posterior Based Speech Recognition System

Hervé Bourlard, Samy Bengio, Hamed Ketabdar

In this paper, we present initial results towards boosting posterior based speech recognition systems by estimating more informative posteriors using multiple streams of features and taking into account acoustic context (e.g., as available in the whole utt ...

IDIAP2005

Model calibration: How to integrate statistical uncertainty and multi-objective equivalence?

André Musy, Bettina Schaefli

Hydrological model calibration should consider two different concepts of predictive uncertainty referring respectively to the statistical uncertainty and the so-called multi-objective equivalence. Currently available studies present different methods to qu ...

2005

Variational Bayesian methods

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Audio-visual probabilistic tracking of multiple speakers in meetings

Exploring Contextual Information in a Layered Framework for Group Action Recognition

Exploring Contextual Information in a Layered Framework for Group Action Recognition

Multimodal Multispeaker Probabilistic Tracking in Meetings

Audio-visual probabilistic tracking of multiple speakers in meetings

Hierarchical Multi-Stream Posterior Based Speech Recognition System

Hierarchical Multi-Stream Posterior Based Speech Recognition System

Model calibration: How to integrate statistical uncertainty and multi-objective equivalence?

Graph Chatbot

Chattez avec Graph Search

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Model calibration: How to integrate statistical uncertainty and multi-objective equivalence?

Audio-visual probabilistic tracking of multiple speakers in meetings

Exploring Contextual Information in a Layered Framework for Group Action Recognition

Audio-visual probabilistic tracking of multiple speakers in meetings

Multimodal Multispeaker Probabilistic Tracking in Meetings

Hierarchical Multi-Stream Posterior Based Speech Recognition System

Hierarchical Multi-Stream Posterior Based Speech Recognition System

Exploring Contextual Information in a Layered Framework for Group Action Recognition