Let data speak: from its capture (acquisition) to first words (learning): data science, an emerging discipline". The Doctoral College at IFPEN (IFP Energies nouvelles) organizes seminars for PhD students . The next one on 30 March 2015 is about Data Science: "Faire parler les mesures, de la capture (acquisition) aux premiers mots (apprentissage) : la science des données, une discipline émergente" or "".













Laurent Daudet, Institut Langevin, Ondes et images

http://www.institut-langevin.espci.fr/laurent_daudet *Abstract: In this talk, we will survey the different techniques that have led to recent changes in the way we do sensing and how to make sense of that information. In particular, we will talk about problem complexity and attendant algorithms, compressive sensing, advanced matrix factorization, sensing hardware and machine learning and how all these seemingly unrelated issues are of importance to the practising engineer. In particular, we'll draw some parallel between some of the techniques currently used in machine learning as used by internet companies and the upcoming convergence that will occur in many fields of Engineering and Science as a result.Laurent Daudet, Institut Langevin, Ondes et images



*Title:



(joint work with I. Carron, G. Chardon, A. Drémeau, S. Gigan, O. Katz, F. Krzakala, G. Lerosey, A. Liutkus, D. Martina, S. Popoff) *Title: Compressed Sensing Imaging through multiply scattering materials (Un imageur compressé utilisant les milieux multiplement diffusants)*Abstract: The recent theory of compressive sensing leverages upon the structure of signals to acquire them with much fewer measurements than was previously thought necessary, and certainly well below the traditional Nyquist-Shannon sampling rate. However, most implementations developed to take advantage of this framework revolve around controlling the measurements with carefully engineered material or acquisition sequences. Instead, we use the natural randomness of wave propagation through multiply scattering media as an optimal and instantaneous compressive imaging mechanism. Waves reflected from an object are detected after propagation through a well-characterized complex medium. Each local measurement thus contains global information about the object, yielding a purely analog compressive sensing method. We experimentally demonstrate the effectiveness of the proposed approach for optical imaging by using a 300-micrometer thick layer of white paint as the compressive imaging device. Scattering media are thus promising candidates for designing efficient and compact compressive imagers.(joint work with I. Carron, G. Chardon, A. Drémeau, S. Gigan, O. Katz, F. Krzakala, G. Lerosey, A. Liutkus, D. Martina, S. Popoff)