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A correction on approximation of smoothing probabilities for hidden Markov mo...
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Parameter estimation by contrast minimization for noisy observations of a dif...
We consider the estimation of unknown parameters in the drift and diffusion coefficients of a one-dimensional ergodic diffusion X when the observation Y is a discrete... -
CNC Machine Tool's wear diagnostic and prognostic by using dynamic bayesian n...
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Indexing of Activities in Wearable Videos : Application to Epidemiological St...
The research of this PhD thesis is fulfilled in the context of wearable video monitoring of patients with aged dementia. The idea is to provide a new tool to medical... -
Methods to choose the best Hidden Markov Model topology for improving mainten...
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Statistical evaluation of Hidden Markov Models topologies, based on industria...
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Discrete TS : two hidden-Markov models for time series of count data
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Flow Control as Stochastic Optimal Control Problem with Incomplete Information
The nonlinear stochastic control problem related with flow control is considered. The state of the link is described by controlled hidden Markov process while the loss... -
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... -
Filtrage par noyaux de convolution itératif
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New trends in Markov models and related learning to restore data
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Non parametric finite translation mixtures with dependent regime
In this paper we consider non parametric finite translation mixtures. We prove that all the parameters of the model are identifiable as soon as the matrix that defines... -
Contributions to the indoor localisation. From the modelization to the theore...
Foreshadowing the next big step in the field of navigation, indoor geolocation has been a very active field of research in the last few years. While geolocation... -
Learning collaborative manipulation tasks by demonstration using a haptic int...
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Unsupervised segmentation of non-stationary hidden Markov chains with copulas
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On-line signature verification on a mobile platform
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Convolution particle filters for parameter estimation in general state-space ...
The state-space modeling of partially observed dynamic systems generally requires estimates of unknown parameters. From a practical point of view, it is relevant in... -
Convolution particle filters for parameter estimation in general state-space ...
The state-space modeling of partially observed dynamic systems generally requires estimates of unknown parameters. From a practical point of view, it is relevant in... -
Estimation of lifetime reproductive success when reproductive status cannot a...
International audience -
Asymptotic properties of the maximum likelihood estimation in misspecified hi...
International audience
