Jérémie Dumas's Homepage /JDumas/homepage/wordpress Welcome to my personal web page Wed, 30 Sep 2015 15:49:58 +0000 en-US hourly 1 http://wordpress.org/?v=4.3.1 Duplication-Based DAG Scheduling /JDumas/homepage/wordpress/duplication-based-dag-scheduling/ /JDumas/homepage/wordpress/duplication-based-dag-scheduling/#comments Fri, 11 May 2012 06:51:51 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=489
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    Public-Key Cryptography and the Subset Sum Problem /JDumas/homepage/wordpress/public-key-cryptography-and-the-subset-sum-problem/ /JDumas/homepage/wordpress/public-key-cryptography-and-the-subset-sum-problem/#comments Fri, 11 May 2012 06:39:14 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=484
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    On the Stable Marriage Problem /JDumas/homepage/wordpress/on-the-stable-marriage-problem/ /JDumas/homepage/wordpress/on-the-stable-marriage-problem/#comments Thu, 10 May 2012 16:54:54 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=481
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    Norms of Interval Matrices /JDumas/homepage/wordpress/norms-of-interval-matrices/ /JDumas/homepage/wordpress/norms-of-interval-matrices/#comments Thu, 10 May 2012 16:53:50 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=479
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    Glitch Minimization in FPGAs /JDumas/homepage/wordpress/glitch-minimization-in-fpgas/ /JDumas/homepage/wordpress/glitch-minimization-in-fpgas/#comments Thu, 10 May 2012 16:46:46 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=477
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    Labworks in Computer Vision /JDumas/homepage/wordpress/labworks-in-computer-vision/ /JDumas/homepage/wordpress/labworks-in-computer-vision/#comments Tue, 01 May 2012 22:58:51 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=430 TP1: Panorama Stitching

    TP2: Camera Calibration

    TP3: Structured Light

    TP4: Stereo

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    Labworks in Computer Graphics /JDumas/homepage/wordpress/labworks-in-computer-graphics/ /JDumas/homepage/wordpress/labworks-in-computer-graphics/#comments Tue, 01 May 2012 22:58:25 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=428 TP1: Transformation Matrices

    TP2: Raytracing

    TP3: Particles Simulation and Implicit Surfaces

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    Unsupervised Learning with Theano /JDumas/homepage/wordpress/unsupervised-learning-with-theano/ /JDumas/homepage/wordpress/unsupervised-learning-with-theano/#comments Tue, 01 May 2012 22:55:48 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=426 During my winter spent in the Université de Montréal in Québec, I worked on a collective project with my classmates from the course algorithmes d’apprentissage. The long-term objective of the project was to develop new facilities to ease unsupervised learning tasks in python with the help of the Theano library, while our short-term motivation was to take part of the Unsupervised and Transfert Learning Challenge. Our team (LISA) did a honorable score in the contest, with a rather fruitful tool development. The online repository of our toolbox can be found here on Assembla.

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    On the Road Coloring Problem /JDumas/homepage/wordpress/on-the-road-coloring-problem/ /JDumas/homepage/wordpress/on-the-road-coloring-problem/#comments Tue, 01 May 2012 22:42:00 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=423 For our evaluation during the the M2 course Recent Topics in Graph Theory, we had to study a specific issue and realize a small survey on the matter, by summing up several research papers and detailling on or two technical points along the way. I devoted myself to the road coloring problem, which deals with edge coloring of a graph, the existence of a synchronizing word in a finite automaton, and cycles in a graph of relativeley prime lengths. You can find my report here, as well as the slides used for my oral presentation.

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    Parallel Oceanic Simulation with MPI /JDumas/homepage/wordpress/parallel-simulatio-mpi/ /JDumas/homepage/wordpress/parallel-simulatio-mpi/#comments Tue, 01 May 2012 22:32:20 +0000 http://perso.ens-lyon.fr/jeremie.dumas/?p=420 Part of the evaluation of our M1 course in Parallel Algorithm consisted in a small oceanic simulation project using MPI. The problem consists in a 2d grid populated by sharks and sardines, the evolution of which is regulated by local rules. The grid is then splitted into horizontal bands, each of them being treated in parallel in order to gain in efficiency compared to a sequential algorithm. The detailed subject can be found here (page 1 and page 2), along with my report and my source code.

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