Manuel Davy

According to our database1, Manuel Davy authored at least 44 papers between 1998 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
An Approximate Method for Integrated Stochastic Replenishment Planning with Supplier Selection.
Proceedings of the 9th International Conference on Operations Research and Enterprise Systems, 2020

2017
Generalized Pólya Urn for Time-Varying Pitman-Yor Processes.
J. Mach. Learn. Res., 2017

2013
Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary Processes.
IEEE Trans. Signal Process., 2013

2012
Nonparametric Bayesian supervised classification of functional data.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010
Generative Supervised Classification Using Dirichlet Process Priors.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Nonlinear functional regression: a functional RKHS approach.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2008
Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures.
IEEE Trans. Signal Process., 2008

Using One-Class SVMs and Wavelets for Audio Surveillance.
IEEE Trans. Inf. Forensics Secur., 2008

Speaker diarization using one-class support vector machines.
Speech Commun., 2008

Particle methods for maximum likelihood estimation in latent variable models.
Stat. Comput., 2008

Robust audio speaker segmentation using one class SVMS.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Joint Segmentation of Piecewise Constant Autoregressive Processes by Using a Hierarchical Model and a Bayesian Sampling Approach.
IEEE Trans. Signal Process., 2007

Particle Filtering for Multisensor Data Fusion With Switching Observation Models: Application to Land Vehicle Positioning.
IEEE Trans. Signal Process., 2007

Joint Detection and Tracking of Time-Varying Harmonic Components: A Flexible Bayesian Approach.
IEEE Trans. Speech Audio Process., 2007

Generalized Polya Urn for Time-varying Dirichlet Process Mixtures.
Proceedings of the UAI 2007, 2007

Bayesian Unsupervised Signal Classification by Dirichlet Process Mixtures of Gaussian Processes.
Proceedings of the IEEE International Conference on Acoustics, 2007

Density Kernels on Unordered Sets for Kernel-Based Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2007

One-class SVM regularization path and comparison with alpha seeding.
Proceedings of the ESANN 2007, 2007

A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD.
Proceedings of the ESANN 2007, 2007

Improved one-class SVM classifier for sounds classification.
Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

2006
An abrupt change detection algorithm for buried landmines localization.
IEEE Trans. Geosci. Remote. Sens., 2006

An online support vector machine for abnormal events detection.
Signal Process., 2006

Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Estimation of Minimum Measure Sets in Reproducing Kernel Hilbert Spaces and Applications.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures.
Proceedings of the 9th International Conference on Information Fusion, 2006

Unsupervised speaker indexing using one-class Support Vector Machines.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
An online kernel change detection algorithm.
IEEE Trans. Signal Process., 2005

Tracking of time-frequency components using particle filtering.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A Class of Kernels For Sets of Vectors.
Proceedings of the ESANN 2005, 2005

2004
Dissimilarity measures in feature space.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Fast MCMC computations for the estimation of sparse processes from noisy observations.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions.
IEEE Trans. Signal Process., 2003

Support vector-based online detection of abrupt changes.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Two approaches for the estimation of time-varying amplitude multichirp signals.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Classification of chirp signals using hierarchical Bayesian learning and MCMC methods.
IEEE Trans. Signal Process., 2002

Bayesian harmonic models for musical pitch estimation and analysis.
Proceedings of the IEEE International Conference on Acoustics, 2002

Hierarchical Bayesian classification of chirp signals.
Proceedings of the IEEE International Conference on Acoustics, 2002

Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2002

Efficient particle filtering for Jump Markov Systems.
Proceedings of the IEEE International Conference on Acoustics, 2002

A particle filtering technique for Jump Markov Systems.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Loudspeaker fault detection using time-frequency representations.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Supervised classification using MCMC methods.
Proceedings of the IEEE International Conference on Acoustics, 2000

Using ARCAP time-frequency representations for decision.
Proceedings of the 10th European Signal Processing Conference, 2000

1998
Tracking of spectral lines in an ARCAP time-frequency representation.
Proceedings of the 9th European Signal Processing Conference, 1998


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