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Classification in postural style based on stochastic process modeling
We address the statistical challenge of classifying subjects as hemiplegic, vestibular or normal based on complex trajectories obtained through two experimental... -
On Some Unsupervised Learning Problems for Highly Dependent Time Series
This thesis is devoted to the theoretical analysis of unsupervised learning problems involving highly dependent time-series. Two fundamental problems are considered,... -
Multiple Change-Point Estimation With a Total Variation Penalty
International audience
