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Quality analysis of online signatures based on entropy measure
This thesis is focused on the quality assessment of online signatures and its application to online signature verification systems. Our work aims at introducing new... -
Inférence statistique dans les modèles mixtes à dynamique Markovienne
The first part of this thesis deals with maximum likelihood estimation in Markovian mixed-eff ects models. More precisely, we consider mixed-eff ects hidden Markov... -
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... -
Incertitudes Stochastiques sur des Modèles de Markov Cachés : Application dan...
Dans ce papier, nous utilisons les Modèles de Markov Cachés comme outils de diagnostic dans l'aide à la décision en maintenance industrielle. En effet, les chaines de... -
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... -
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... -
Seeking divergent protein domains with Hidden Markov Models: application to P...
Hidden Markov Models (HMMs) - from Pfam database for example - are popular tools for protein domain annotation. However, they are not well suited for studying highly... -
Single and multiple object(s) Bayesian restoration algorithms for Markovian m...
This thesis focuses on the Bayesian estimation problem for statistical filtering which consists in estimating hidden states from an historic of observations over time... -
Monte Carlo EM methods and Particle approximations: Application to the calibr...
This thesis pursues a double perspective in the joint use of sequential Monte Carlo methods (SMC) and the Expectation-Maximization algorithm (EM) under hidden Markov... -
Source coding with side information and uncertain correlation knowledge
In this thesis, we considered the problem of source coding with side information available at the decoder only. More in details, we considered the case where the joint... -
Fouille de données agricoles par Modèles de Markov cachés
Colloque avec actes et comité de lecture. nationale. -
Hidden Markov chains and unsupervised source separation
The restoration problem is usually encountered in various domains and in particular in signal and image processing. It consists in retrieving original data from a set... -
A New Keyword Spotting Approach Based on Reward Function
Colloque avec actes et comité de lecture. nationale. -
CarrotAge, a software for mining land-use data
Colloque avec actes et comité de lecture. internationale.
