Arnaud Doucet

Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2008

Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Particle methods for maximum likelihood estimation in latent variable models.

[BibT_eX]

[DOI]

Adam M. Johansen

Stat. Comput., 2008

Interacting sequential Monte Carlo samplers for trans-dimensional simulation.

[BibT_eX]

[DOI]

Ajay Jasra

David A. Stephens

Christopher C. Holmes

Comput. Stat. Data Anal., 2008

Sparse Bayesian nonparametric regression.

[BibT_eX]

[DOI]

Francois Caron

Proceedings of the Machine Learning, 2008

2007

GSR: A New Genetic Algorithm for Improving Source and Channel Estimates.

[BibT_eX]

[DOI]

Hassan Ali

Dino Isa Amshah

IEEE Trans. Circuits Syst. I Regul. Pap., 2007

A Framework for Kernel-Based Multi-Category Classification.

[BibT_eX]

[DOI]

Simon I. Hill

J. Artif. Intell. Res., 2007

A policy gradient method for semi-Markov decision processes with application to call admission control.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2007

Simulation-based optimal sensor scheduling with application to observer trajectory planning.

[BibT_eX]

[DOI]

Autom., 2007

Generalized Polya Urn for Time-varying Dirichlet Process Mixtures.

[BibT_eX]

[DOI]

Francois Caron

Proceedings of the UAI 2007, 2007

Active Policy Learning for Robot Planning and Exploration under Uncertainty.

[BibT_eX]

[DOI]

Ruben Martinez-Cantin

José A. Castellanos

Proceedings of the Robotics: Science and Systems III, 2007

Bayesian Policy Learning with Trans-Dimensional MCMC.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Monte Carlo Algorithm for Optimal Quantization in Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2007

Bayesian Unsupervised Signal Classification by Dirichlet Process Mixtures of Gaussian Processes.

[BibT_eX]

[DOI]

Edmund S. Jackson

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Sequential sampling for dynamic environment maps.

[BibT_eX]

[DOI]

Abhijeet Ghosh

Wolfgang Heidrich

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006

Sequential Sampling for Dynamic Environment Map Illumination.

[BibT_eX]

[DOI]

Abhijeet Ghosh

Wolfgang Heidrich

Proceedings of the Eurographics Symposium on Rendering Techniques, Nicosia, Cyprus, 2006, 2006

Fast particle smoothing: if I had a million particles.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Particle Filter as A Controlled Markov Chain For On-Line Parameter Estimation in General State Space Models.

[BibT_eX]

[DOI]

George Poyiadjis

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo.

[BibT_eX]

[DOI]

Adam M. Johansen

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Optimal Filtering For Partially Observed Point Processes Using Trans-Dimensional Sequential Monte Carlo.

[BibT_eX]

[DOI]

Luis Montesano

Ajay Jasra

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration.

[BibT_eX]

[DOI]

Nikolaos Kantas

Proceedings of the 9th International Conference on Information Fusion, 2006

Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information Fusion, 2006

Gradient-free maximum likelihood parameter estimation with particle filters.

[BibT_eX]

[DOI]

George Poyiadjis

Proceedings of the American Control Conference, 2006

2005

Monte Carlo methods for signal processing: a review in the statistical signal processing context.

[BibT_eX]

[DOI]

Xiaodong Wang

IEEE Signal Process. Mag., 2005

Toward Practical N2 Monte Carlo: the Marginal Particle Filter.

[BibT_eX]

[DOI]

Mike Klaas

Proceedings of the UAI '05, 2005

Joint Bayesian model selection and blind equalization of ISI channels.

[BibT_eX]

[DOI]

Zaifei Liu

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

Adapting two-class support vector classification methods to many class problems.

[BibT_eX]

[DOI]

Simon I. Hill

Proceedings of the Machine Learning, 2005

Particle methods for optimal filter derivative: application to parameter estimation.

[BibT_eX]

[DOI]

George Poyiadjis

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Space alternating data augmentation: application to finite mixture of Gaussians and speaker recognition.

[BibT_eX]

[DOI]

Stéphane Sénécal

Tomoko Matsui

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

On-Line Parameter Estimation in General State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Particle methods for change detection, system identification, and control.

[BibT_eX]

[DOI]

Proc. IEEE, 2004

Particle Filtering for Joint Symbol and Code Delay Estimation in DS Spread Spectrum Systems in Multipath Environment.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2004

Editorial.

[BibT_eX]

[DOI]

Petar M. Djuric

EURASIP J. Adv. Signal Process., 2004

Blind SOS subspace channel estimation and equalization techniques exploiting spatial diversity in OFDM systems.

[BibT_eX]

[DOI]

Hassan Ali

Yingbo Hua

Digit. Signal Process., 2004

The cross-entropy method for blind multiuser detection.

[BibT_eX]

[DOI]

Zaifei Liu

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

A Rao-Blackwellized particle filter for INS/GPS integration.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Nonlinear filtering approaches for INS/GPS integration.

[BibT_eX]

[DOI]

Audrey Giremus

Anne-Christine Escher

Jean-Yves Tourneret

Proceedings of the 2004 12th European Signal Processing Conference, 2004

Fixed-lag sequential Monte Carlo.

[BibT_eX]

[DOI]

Stéphane Sénécal

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

A new class of soft MIMO demodulation algorithms.

[BibT_eX]

[DOI]

Bin Dong

Xiaodong Wang

IEEE Trans. Signal Process., 2003

Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2003

Copulas: a new insight into positive time-frequency distributions.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2003

An Introduction to MCMC for Machine Learning.

[BibT_eX]

[DOI]

Mach. Learn., 2003

Sequential Bayesian Kernel Regression.

[BibT_eX]

[DOI]

Jaco Vermaak

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Maintaining Multi-Modality through Mixture Tracking.

[BibT_eX]

[DOI]

Jaco Vermaak

Patrick Pérez

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Particle filtering for joint symbol and parameter estimation in DS spread spectrum systems.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Optimisation of particle filters using simultaneous perturbation stochastic approximation.

[BibT_eX]

[DOI]

Bao Ling Chan

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Online expectation-maximization type algorithms for parameter estimation in general state space models.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Stochastic approximation for optimal observer trajectory planning.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Sampling-based near-optimal MIMO demodulation algorithms.

[BibT_eX]

[DOI]

Bin Dong

Xiaodong Wang

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Two time-scale stochastic approximation for constrained stochastic optimization and constrained Markov decision problems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2003

2002

Bayesian curve fitting using MCMC with applications to signal segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2002

Monte Carlo smoothing with application to audio signal enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2002

A survey of convergence results on particle filtering methods for practitioners.

[BibT_eX]

[DOI]

Dan Crisan

IEEE Trans. Signal Process., 2002

Particle methods for Bayesian modeling and enhancement of speech signals.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2002

Optimized support vector machines for nonstationary signal classification.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2002

Marginal maximum a posteriori estimation using Markov chain Monte Carlo.

[BibT_eX]

[DOI]

Christian P. Robert

Stat. Comput., 2002

Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo.

[BibT_eX]

Shien-Shin Tham

Kotagiri Ramamohanarao

Proceedings of the Machine Learning, 2002

Efficient particle filtering for Jump Markov Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

A policy gradient method for SMDPs with application to call admission control.

[BibT_eX]

[DOI]

Sumetpal Singh

Proceedings of the Seventh International Conference on Control, 2002

On the use and misuse of particle filtering in digital communications.

[BibT_eX]

[DOI]

Proceedings of the 11th European Signal Processing Conference, 2002

A particle filtering technique for Jump Markov Systems.

[BibT_eX]

[DOI]

Proceedings of the 11th European Signal Processing Conference, 2002

Exponential forgetting and geometric ergodicity in state-space models.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE Conference on Decision and Control, 2002

On-line optimization of sequential Monte Carlo methods using stochastic approximation.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2002

2001

Particle filters for state estimation of jump Markov linear systems.

[BibT_eX]

[DOI]

Neil J. Gordon

Vikram Krishnamurthy

IEEE Trans. Signal Process., 2001

Iterative algorithms for state estimation of jump Markov linear systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2001

Bayesian deconvolution of noisy filtered point processes.

[BibT_eX]

[DOI]

Eric Barat

IEEE Trans. Signal Process., 2001

Particle filtering for demodulation in fading channels with non-Gaussian additive noise.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2001

Model selection by MCMC computation.

[BibT_eX]

[DOI]

Petar M. Djuric

Signal Process., 2001

Robust Full Bayesian Learning for Radial Basis Networks.

[BibT_eX]

[DOI]

Neural Comput., 2001

Optimal Estimation of Amplitude and Phase Modulated Signals.

[BibT_eX]

[DOI]

Monte Carlo Methods Appl., 2001

Rao-Blackwellised Particle Filtering via Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Convergence properties of Bayesian evolutionary algorithms with population size greater than 1.

[BibT_eX]

[DOI]

Si-Eun Lee

Byoung-Tak Zhang

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

An Introduction to Sequential Monte Carlo Methods.

[BibT_eX]

[DOI]

Neil J. Gordon

Proceedings of the Sequential Monte Carlo Methods in Practice, 2001

Sequential Monte Carlo Methods for Optimal Filtering.

[BibT_eX]

[DOI]

Proceedings of the Sequential Monte Carlo Methods in Practice, 2001

2000

Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2000

Stochastic sampling algorithms for state estimation of jump Markov linear systems.

[BibT_eX]

[DOI]

Andrew Logothetis

Vikram Krishnamurthy

IEEE Trans. Autom. Control., 2000

On sequential Monte Carlo sampling methods for Bayesian filtering.

[BibT_eX]

[DOI]

Stat. Comput., 2000

Sequential Monte Carlo Methods to Train Neural Network Models.

[BibT_eX]

[DOI]

João F. G. de Freitas

Mahesan Niranjan

Andrew H. Gee

Neural Comput., 2000

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Reversible Jump MCMC Simulated Annealing for Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

The Unscented Particle Filter.

[BibT_eX]

[DOI]

Rudolph van der Merwe

Eric A. Wan

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Particle filtering for non-stationary speech modelling and enhancement.

[BibT_eX]

[DOI]

Jaco Vermaak

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2000

Monte Carlo filtering and smoothing with application to time-varying spectral estimation.

[BibT_eX]

[DOI]

Mike West

Proceedings of the IEEE International Conference on Acoustics, 2000

Markov chain Monte Carlo data association for target tracking.

[BibT_eX]

[DOI]

Niclas Bergman

Proceedings of the IEEE International Conference on Acoustics, 2000

On-line non-stationary ICA using mixture models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2000

Sequential simulation-based estimation of jump Markov linear systems.

[BibT_eX]

[DOI]

Neil J. Gordon

Vikram Krishnamurthy

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999

Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1999

An improved method for uniform simulation of stable minimum phase real ARMA (p, q) processes.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 1999

Simulation-based methods for blind maximum-likelihood filter identification.

[BibT_eX]

[DOI]

Signal Process., 1999

A Bayesian approach to harmonic retrieval with clipped data.

[BibT_eX]

[DOI]

Signal Process., 1999

Robust Full Bayesian Methods for Neural Networks.

[BibT_eX]

[DOI]

João F. G. de Freitas

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Sequential Bayesian wavelet denoising.

[BibT_eX]

[DOI]

Mark J. Coates

Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999

Marginal MAP estimation using Markov chain Monte Carlo.

[BibT_eX]

[DOI]

Christian P. Robert

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Iterative algorithms for optimal state estimation of jump Markov linear systems.

[BibT_eX]

[DOI]

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

Global Optimisation of Neural Network Models via Sequential Sampling.

[BibT_eX]

[DOI]

João F. G. de Freitas

Mahesan Niranjan

Andrew H. Gee

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Joint Bayesian detection and estimation of sinusoids embedded in noise.

[BibT_eX]

[DOI]

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Bayesian deconvolution of poissonian point sources.

[BibT_eX]

[DOI]

Guillaume Stawinski

Proceedings of the 9th European Signal Processing Conference, 1998

Robust Bayesian spectral analysis via MCMC sampling.

[BibT_eX]

[DOI]

Proceedings of the 9th European Signal Processing Conference, 1998

Efficient stochastic maximum a posteriori estimation for harmonic signals.

[BibT_eX]

[DOI]

Proceedings of the 9th European Signal Processing Conference, 1998

1997

Bayesian estimation of state-space models applied to deconvolution of Bernoulli - Gaussian processes.

[BibT_eX]

[DOI]

Signal Process., 1997

1996

Instantaneous frequency estimation: Bayesian approaches versus reassignment-application to gravitational waves.

[BibT_eX]

[DOI]

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Fully Bayesian analysis of conditionally linear Gaussian state space models.

[BibT_eX]

[DOI]

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Fully Bayesian analysis of Hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the 8th European Signal Processing Conference, 1996

Bayesian deconvolution of cyclostationary processes based on point processes.

[BibT_eX]

[DOI]