MINES ParisTech

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The École des Mines de Paris also publishes a world university ranking based on the number of alumni holding the post of CEO in one of the 500 largest companies in the world: the Mines ParisTech: Professional Ranking of World Universities.

End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances

Reinforcement Learning (RL) aims at learning an optimal behavior policy ...
11/25/2019 ∙ by Marin Toromanoff, et al. ∙ 22 ∙ share

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Deep Sensor Fusion for Real-Time Odometry Estimation

Cameras and 2D laser scanners, in combination, are able to provide low-c...
07/31/2019 ∙ by Michelle Valente, et al. ∙ 15 ∙ share

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3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction

We reconstruct 3D deformable object through time, in the context of a li...
08/05/2019 ∙ by Raoul de Charette, et al. ∙ 3 ∙ share

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Supervised Quantile Normalisation

Quantile normalisation is a popular normalisation method for data subjec...
06/01/2017 ∙ by Marine Le Morvan, et al. ∙ 0 ∙ share

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YoTube: Searching Action Proposal via Recurrent and Static Regression Networks

In this paper, we present YoTube-a novel network fusion framework for se...
06/26/2017 ∙ by Hongyuan Zhu, et al. ∙ 0 ∙ share

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Digits that are not: Generating new types through deep neural nets

For an artificial creative agent, an essential driver of the search for ...
06/14/2016 ∙ by Akın Kazakçıand Mehdi Cherti, et al. ∙ 0 ∙ share

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Prior-based Hierarchical Segmentation Highlighting Structures of Interest

Image segmentation is the process of partitioning an image into a set of...
03/09/2017 ∙ by Amin Fehri, et al. ∙ 0 ∙ share

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Network-Guided Biomarker Discovery

Identifying measurable genetic indicators (or biomarkers) of a specific ...
07/27/2016 ∙ by Chloé-Agathe Azencott, et al. ∙ 0 ∙ share

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Automatic Selection of Stochastic Watershed Hierarchies

The segmentation, seen as the association of a partition with an image, ...
09/09/2016 ∙ by Amin Fehri, et al. ∙ 0 ∙ share

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Learning the Structure for Structured Sparsity

Structured sparsity has recently emerged in statistics, machine learning...
03/10/2015 ∙ by Nino Shervashidze, et al. ∙ 0 ∙ share

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A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images

A general framework of spatio-spectral segmentation for multi-spectral i...
02/09/2016 ∙ by Guillaume Noyel, et al. ∙ 0 ∙ share

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Consistency of random forests

Random forests are a learning algorithm proposed by Breiman [Mach. Learn...
05/12/2014 ∙ by Erwan Scornet, et al. ∙ 0 ∙ share

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Using Latent Binary Variables for Online Reconstruction of Large Scale Systems

We propose a probabilistic graphical model realizing a minimal encoding ...
12/23/2013 ∙ by Victorin Martin, et al. ∙ 0 ∙ share

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The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures

Motivation: Biomarker discovery from high-dimensional data is a crucial ...
01/26/2011 ∙ by Anne-Claire Haury, et al. ∙ 0 ∙ share

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A bagging SVM to learn from positive and unlabeled examples

We consider the problem of learning a binary classifier from a training ...
10/05/2010 ∙ by Fantine Mordelet, et al. ∙ 0 ∙ share

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Increasing stability and interpretability of gene expression signatures

Motivation : Molecular signatures for diagnosis or prognosis estimated f...
01/18/2010 ∙ by Anne-Claire Haury, et al. ∙ 0 ∙ share

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The watershed concept and its use in segmentation : a brief history

The watershed is one of the most used tools in image segmentation. We pr...
02/01/2012 ∙ by Fernand Meyer, et al. ∙ 0 ∙ share

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SO(3)-invariant asymptotic observers for dense depth field estimation based on visual data and known camera motion

In this paper, we use known camera motion associated to a video sequence...
03/13/2011 ∙ by Nadege Zarrouati, et al. ∙ 0 ∙ share

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A path following algorithm for the graph matching problem

We propose a convex-concave programming approach for the labeled weighte...
01/23/2008 ∙ by Mikhail Zaslavskiy, et al. ∙ 0 ∙ share

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An Algorithm for Supervised Driving of Cooperative Semi-Autonomous Vehicles (Extended)

Before reaching full autonomy, vehicles will gradually be equipped with ...
06/25/2017 ∙ by Florent Altche, et al. ∙ 0 ∙ share

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HPC Curriculum and Associated Ressources in the Academic Context

Hardware support for high-performance computing (HPC) has so far been su...
02/04/2018 ∙ by Claude Tadonki, et al. ∙ 0 ∙ share

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Basic Parallel and Distributed Computing Curriculum

With the advent of multi-core processors and their fast expansion, it is...
02/12/2018 ∙ by Claude Tadonki, et al. ∙ 0 ∙ share

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Machine learning and genomics: precision medicine vs. patient privacy

Machine learning can have major societal impact in computational biology...
02/28/2018 ∙ by Chloé-Agathe Azencott, et al. ∙ 0 ∙ share

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Invariant Smoothing on Lie Groups

In this paper we propose a (non-linear) smoothing algorithm for group-af...
03/06/2018 ∙ by Paul Chauchat, et al. ∙ 0 ∙ share

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Light Virtual Reality systems for the training of conditionally automated vehicle drivers

In conditionally automated vehicles, drivers can engage in secondary act...
03/13/2018 ∙ by Daniele Sportillo, et al. ∙ 0 ∙ share

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Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation

This paper presents an algorithm to simulate Gaussian random vectors who...
05/17/2018 ∙ by Mike Pereira, et al. ∙ 0 ∙ share

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Fusing Laser Scanner and Stereo Camera in Evidential Grid Maps

Automation driving techniques have seen tremendous progresses these last...
05/25/2018 ∙ by Michelle Valente, et al. ∙ 0 ∙ share

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Polarized Rewriting and Tableaux in B Set Theory

We propose and extension of the tableau-based first-order automated theo...
06/22/2018 ∙ by Olivier Hermant, et al. ∙ 0 ∙ share

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Coupled Longitudinal and Lateral Control of a Vehicle using Deep Learning

This paper explores the capability of deep neural networks to capture ke...
10/22/2018 ∙ by Guillaume Devineau, et al. ∙ 0 ∙ share

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Building the Case for Temperature Awareness in Energy Consumption Models: an Application of the Energy-Frequency Convexity Rule

Optimizing computing and communication systems that host energy-critical...
11/22/2018 ∙ by Kameswar Vaddina, et al. ∙ 0 ∙ share

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Multiview Based 3D Scene Understanding On Partial Point Sets

Deep learning within the context of point clouds has gained much researc...
11/30/2018 ∙ by Ye Zhu, et al. ∙ 0 ∙ share

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MorteX method for contact along real and embedded surfaces: coupling X-FEM with the Mortar method

A method to treat frictional contact problems along embedded surfaces in...
02/03/2019 ∙ by Basava Raju Akula, et al. ∙ 0 ∙ share

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Stabilized MorteX method for mesh tying along embedded interfaces

We present a unified framework to tie overlapping meshes in solid mechan...
02/03/2019 ∙ by Basava Raju Akula, et al. ∙ 0 ∙ share

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An LSTM Network for Real-Time Odometry Estimation

The use of 2D laser scanners is attractive for the autonomous driving in...
02/22/2019 ∙ by Michelle Valente, et al. ∙ 0 ∙ share

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ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks

Dropout is a regularisation technique in neural network training where u...
09/21/2019 ∙ by Beyrem Khalfaoui, et al. ∙ 0 ∙ share

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Path-planning microswimmers can swim efficiently in turbulent flows

We develop an adversarial-reinforcement learning scheme for microswimmer...
10/03/2019 ∙ by Jaya Kumar Alageshan, et al. ∙ 0 ∙ share

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Generalized mean shift with triangular kernel profile

The mean shift algorithm is a popular way to find modes of some probabil...
01/07/2020 ∙ by Sébastien Razakarivony, et al. ∙ 0 ∙ share

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OpenMP Parallelization of Dynamic Programming and Greedy Algorithms

Multicore has emerged as a typical architecture model since its advent a...
01/20/2020 ∙ by Claude Tadonki, et al. ∙ 0 ∙ share

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Learning,Generating and Adapting Wave Gestures for Expressive Human-Robot Interaction

This study proposes a novel imitation learning approach for the stochast...
03/04/2020 ∙ by Mihalis Panteris, et al. ∙ 0 ∙ share

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Hard Shape-Constrained Kernel Machines

Shape constraints (such as non-negativity, monotonicity, convexity) play...
05/26/2020 ∙ by Pierre-Cyril Aubin-Frankowski, et al. ∙ 0 ∙ share

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Fast computation of all pairs of geodesic distances

Computing an array of all pairs of geodesic distances between the pixels...
07/31/2020 ∙ by Guillaume Noyel, et al. ∙ 0 ∙ share

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Comparative study and limits of different level-set formulations for the modeling of anisotropic grain growth

Four different finite element level-set (FE-LS) formulations are compare...
06/03/2021 ∙ by Brayan Murgas, et al. ∙ 0 ∙ share

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