Time-frequency learning machines

Our paper is a further contribution which extends the framework of the so-called kernel learning machines to time-frequency analysis, showing that some specific reproducing

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

This indicates respectively that the enhanced and smoothed RTFR features are more robust than STFT features and that the activation patterns acquired by the proposed approach using

By distinguishing between chronological, narrative and generational time we have not only shown how different notions of time operate within the life stories, but have also tried

Chinese factory workers were important in California especially during the Civil War (Chinese provided a quarter of California’s labour force). They worked in different

quantum bit (qubit, which is the elemental quantum information unity), Bloch’s Sphere (geometric environment for qubit representation), Hilbert’s Space (which

Thevibrations from them may êtregênantes; they are the source of somenoise radiated by this machine and are therefore undesirable forusers, they can be transmitted to

The major advantage of this algorithm is its precision obtained on the global time, which is only limitated by the granularity of the physical clocks and the anisotropy of the