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Nombre de programmes trouvés : 750
Conférences

le (1h2m59s)

Decision making at scale: Algorithms, Mechanisms, and Platforms

YouTube competes with Hollywood as an entertainment channel, and also supplements Hollywood by acting as a distribution mechanism. Twitter has a similar relationship to news media, and Coursera to Universities. But there are no online alternatives for making democratic decisions at large scale as a society. In this talk, we will describe two algorithmic approaches towards large scale decision making that we are exploring. a) Knapsack voting and participatory budgeting: All budget problems are knapsack problems at their heart, since the goal is ...
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Label UNT Documentaires

le (11m34s)

La microcirculation cérébrale (2000)

Le laboratoire de Recherches cérébrovasculaires du CNRS a développé une méthode originale de visualisation de la circulation sanguine du cerveau qui utilise un microscope de fluorescence à effet confocal et à balayage laser. L'objet de ce film est de montrer les images de microcinéma obtenues par ce procédé sur un cerveau de rat en conditions physiologiques et lors d'une pathologie fréquente, l'ischémie. L'injection de fluorescéine dans le plasma permet de visualiser les micro-vaisseaux. Dans un deuxième temps, l'injection de globules rouges préalablements rendus fluorecents permet d'observer le flux sanguin dans les anastomoses fonctionelles entre deux vaisseaux du même type. La ...
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Conférences

le (1h8m48s)

On Artificial Olfaction, and How to Test For It

For years there has been interest in the possibility of building a reliable odor reproduction system (AOS), with its vast spectrum of applications: from e-commerce, games and video, via the food and cosmetics industry, to medical diagnosis. Such a system would enable an output device — the whiffer — to release an imitation of an odor read in by an input device — the sniffer — upon command. To realize this scheme one must carry out deep and complex research that combines computer science and mathematics ...
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Conférences

le (47m25s)

Knowledge transfer and human-machine collaboration for training object class detector

Object class detection is a central area of computer vision. It requires recognizing and localizing all objects of predefined set of classes in an image. Detectors are usually trained under full supervision, which requires manually drawing object bounding-boxes in a large number of training images. This is tedious and very time consuming.  In this talk I will present two recent techniques for reducing this effort. In the first part I will explore a knowledge transfer scenario: training object detectors for target ...
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