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16/05/2013 @ 14h00 – 15h00 – The Posterior Mean of the Total Variation model\nBy Lionel Moisan\, MAP5.\n\nAbstract:\nThe Total Variation image (or signal) denoising model is a variational approach\nthat can be interpreted\, in a Bayesian framework\, as a search for the maximum\npoint of the posterior density (Maximum A Posteriori estimator). This maximization\naspect is partly responsible for a restoration bias called « staircasing effect »\,\nthat […]
02/05/2013 @ 14h00 – 15h00 – Title coming soon.\nBy Liva Ralaivola\, LIF.\n\nAbstract coming soon
25/04/2013 @ 14h00 – 15h00 – Sparse dictionary learning in the presence of noise and outliers.\nBy Rémi Gribonval\, INRIA Rennes – Bretagne Atlantique.\n\nA popular approach within the signal processing and machine learning communities consists in modelling signals as sparse linear combinations of atoms selected from a learned dictionary. While this paradigm has led to numerous empirical successes in various fields ranging […]
11/04/2013 @ 14h00 – 15h00 – Estimation of frequency modulations on wideband signals\, applications to audio signal analysis\n\nBy Harold Omer\, LATP.\n\nAbstract:\nThe problem of joint estimation of power spectrum and modulation from realizations of frequency modulated stationary wideband signals is considered.\nThe study is motivated by some specific signal classes from which departures to stationarity can carry relevant information and has to be […]
05/04/2013 @ 10h00 – 12h00 – Pédagogies innovantes actives – retour d’expérience et discussion\nPar Bertrand David\, Télécom ParisTech.\n\nDownload slides\n\nAprès de plusieurs réformes de son cycle master (2A et 3A)\, Telecom Paristech (ex-ENST) s’est engagée dans une réforme de son enseignement de première année. Cette réforme a pris effet en 2011/12 et a été préparée à partir de 2009/10. Suite à plusieurs […]
04/04/2013 @ 17h30 – 23h00 – Conférence « Le rôle des mathématiques dans l’élaboration de traitements personnalisés des cancers » Conférence dans le cadre des jeudis du CNRS, animée par Guillemette Chapuisat, du laboratoire d’analyse, topologie et probabilités (LATP, nouvellement I2M).
04/04/2013 @ 14h00 – 15h00 – A Markov point process for Fiber extraction\nBy Claire Coiffard\, IRMA\, Unistra.\n\n\nAbstract:\nThe aim of this work is to extract fibers in an image. We use a stochastic modelisation of the image : an observation is a realisation of a marked process. Using a bayesian approach\, we define our estimator by a MAP criterion. The model used […]
28/03/2013 @ 14h00 – 15h00 – Social Sparsity: application to audio inpainting.\n\nBy Matthieu Kowalski\, L2S.\n\nAbstract:\nAudio inpainting problem is under consideration\, using iterative\nthresholding algorithms build on the « social sparsity » principle.\nFirst\, we present new shrinkage operators\, allowing one to take into\naccount the neighborhood of time-frequency coefficients. Then\, the\naudio declipping problem is formulated as a unconstrained convex\noptimization problem\, but taking into account an inportant […]
21/03/2013 @ 14h00 – 15h00 – Bayesian approaches via sparsity enforcing priors for acoustic source imaging with robustness, super resolution and wide dynamic range. By Ning Chu, L2S. Acoustic imaging is a standard technique for mapping the positions and powers of acoustic sources with microphone arrays, which provides the insight into the mechanisms and properties of acoustic sources, especially for acoustic […]
14/03/2013 @ 14h00 – 15h00 – Dictionary learning and application to EEG\n\nBy Quentin Barthelemy, CEA. This presentation addresses the issue of representing electroencephalographic (EEG) signals in an efficient way. While classical approaches use a fixed Gabor dictionary to analyze EEG signals, this talk proposes a data-driven method to obtain an adapted dictionary. To reach an efficient dictionary learning, appropriate spatial and […]
