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Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of ...
Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of ...
A note presenting the first examples of groups that are boundedly generated, have property (T) and have a one-dimensional space of pseudocharacters. ...
In the problem of lossy source coding with side-information, it is well known (Wyner and Ziv 1976) that knowledge of the side-information at the encoder improves the rate-distortion trade-off for binary sources and the Hamming distortion measure. We consid ...
The present article evaluates the knowledge that can be attributed to the application of « Best Practices » in the field of urban habitat. It especially aims at identifying the conditions of innovation in such a setting, as well as defining the necessary c ...
Distributed Video Coding (DVC) is a new paradigm for video compression based on the information theoretical results of Slepian-Wolf (SW) and Wyner-Ziv (WZ). In this work, a performance analysis of image and video coding schemes based on DVC are presented, ...
Purpose: To describe a new type of stent consisting of a 3-dimensional (3D) braided tube made of 2 interconnected layers without any covering to treat a renal artery aneurysm. ...
The goal of this project is to measure the mechanical properties of a porous polymeric scaffold. For this purpose, the deformation of the scaffold will be visualized using micro-computed tomography (µCT). We have a compression machine which operates inside ...
Polar codes allow to perform lossless compression of i.i.d. sources at the lowest rate with low encoding and decoding complexity. In this paper, it is shown that for binary sources, there exist “universal polar codes” which can compress any source of low e ...
The problem of efficiently representing and approximating digital data is an open challenge and it is of paramount importance for many applications. This dissertation focuses on the approximation of natural signals as an organized combination of mutually c ...
