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Statistical Inference for Hidden Markov Tree Models and Application to Wavele...
The hidden Markov tree model was introduced by Crouse, Nowak and Baraniuk (1998) for modeling non-independent, non-Gaussian wavelet transform coefficien- ts. In their... -
A Projective Framework for Structure and Motion Recovery from Two Views of a ...
In this paper, we consider the problem of finding an optimal reconstruction from two views of a piecewise planar scene. We consider the general case of uncalibrated... -
Non Parametric Statistical Analysis of Scene Activity for Motion-Based Video ...
This report describes an original approach for content-based video indexing and retrieval. We provide a global interpretation of the dynamic content of video shots... -
Maximum likelihood estimator consistency for ballistic random walk in a param...
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Size and shape estimation of 3-D convex objects from their 2-D projections: a...
International audience -
Impact of Antennas on the Anchor-less Indoor Localization of a Static IR-UWB ...
International audience -
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary...
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Parametric Estimation for Diffusion Processes from Discrete-time and Noisy Ob...
Noisy discretely observed diffusion processes with random drift function parameters are considered. Maximum likelihood and Bayesian estimation methods are extended to... -
Performance comparison of various maximum likelihood nonlinear mixed-effects ...
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Inference in hidden Markov models and particle approximations. Application to...
This thesis is dedicated to inference problems in hidden Markov models. The first part is devoted to an online maximum likelihood estimation procedure which does not... -
A review on estimation of stochastic differential equations for pharmacokinet...
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Gaussian approximation of interferometric PDF for MLE derivation
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Statistical inference in a high-dimensional spiked population model
This thesis deals with the statistical inference of large dimensional data. The random matrix theory allows to take into account this framework, since most asymptotic... -
Estimation and detection in hyperspectral imagery : application in coastal en...
This thesis deals with estimation and supervised detection issues in hyperspectral imagery, applied in coastal environments. Bathymetric models of reflectance are used... -
A sequential Monte Carlo approach for MLE in a plant growth model
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Convergent Stochastic Expectation Maximization algorithm with efficient sampl...
Estimation in the deformable template model is a big challenge in image analysis. The issue is to estimate an atlas of a population. This atlas contains a template and... -
Simultaneous vehicle state and road attributes estimation using unknown input...
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On the need for a control line in selection experiments: A likelihood analysis
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Pathogenesis of experimental bovine spongiform encephalopathy (BSE): estimati...
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Asymptotic normality and efficiency of the maximum likelihood estimator for t...
We consider a one dimensional ballistic random walk evolving in a parametric independent and identically distributed random environment. We study the asymptotic...
