
EndtoEnd ModelFree Reinforcement Learning for Urban Driving using Implicit Affordances
Reinforcement Learning (RL) aims at learning an optimal behavior policy ...
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Deep Sensor Fusion for RealTime Odometry Estimation
Cameras and 2D laser scanners, in combination, are able to provide lowc...
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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...
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Supervised Quantile Normalisation
Quantile normalisation is a popular normalisation method for data subjec...
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YoTube: Searching Action Proposal via Recurrent and Static Regression Networks
In this paper, we present YoTubea novel network fusion framework for se...
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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 ...
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Priorbased Hierarchical Segmentation Highlighting Structures of Interest
Image segmentation is the process of partitioning an image into a set of...
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NetworkGuided Biomarker Discovery
Identifying measurable genetic indicators (or biomarkers) of a specific ...
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Automatic Selection of Stochastic Watershed Hierarchies
The segmentation, seen as the association of a partition with an image, ...
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Learning the Structure for Structured Sparsity
Structured sparsity has recently emerged in statistics, machine learning...
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A New SpatioSpectral Morphological Segmentation For MultiSpectral RemoteSensing Images
A general framework of spatiospectral segmentation for multispectral i...
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Consistency of random forests
Random forests are a learning algorithm proposed by Breiman [Mach. Learn...
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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 ...
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The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures
Motivation: Biomarker discovery from highdimensional data is a crucial ...
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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 ...
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Increasing stability and interpretability of gene expression signatures
Motivation : Molecular signatures for diagnosis or prognosis estimated f...
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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...
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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...
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A path following algorithm for the graph matching problem
We propose a convexconcave programming approach for the labeled weighte...
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An Algorithm for Supervised Driving of Cooperative SemiAutonomous Vehicles (Extended)
Before reaching full autonomy, vehicles will gradually be equipped with ...
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HPC Curriculum and Associated Ressources in the Academic Context
Hardware support for highperformance computing (HPC) has so far been su...
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Basic Parallel and Distributed Computing Curriculum
With the advent of multicore processors and their fast expansion, it is...
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Machine learning and genomics: precision medicine vs. patient privacy
Machine learning can have major societal impact in computational biology...
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Invariant Smoothing on Lie Groups
In this paper we propose a (nonlinear) smoothing algorithm for groupaf...
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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...
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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...
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Fusing Laser Scanner and Stereo Camera in Evidential Grid Maps
Automation driving techniques have seen tremendous progresses these last...
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Polarized Rewriting and Tableaux in B Set Theory
We propose and extension of the tableaubased firstorder automated theo...
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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...
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Building the Case for Temperature Awareness in Energy Consumption Models: an Application of the EnergyFrequency Convexity Rule
Optimizing computing and communication systems that host energycritical...
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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...
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MorteX method for contact along real and embedded surfaces: coupling XFEM with the Mortar method
A method to treat frictional contact problems along embedded surfaces in...
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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...
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An LSTM Network for RealTime Odometry Estimation
The use of 2D laser scanners is attractive for the autonomous driving in...
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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...
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Pathplanning microswimmers can swim efficiently in turbulent flows
We develop an adversarialreinforcement learning scheme for microswimmer...
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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...
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OpenMP Parallelization of Dynamic Programming and Greedy Algorithms
Multicore has emerged as a typical architecture model since its advent a...
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Learning,Generating and Adapting Wave Gestures for Expressive HumanRobot Interaction
This study proposes a novel imitation learning approach for the stochast...
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Hard ShapeConstrained Kernel Machines
Shape constraints (such as nonnegativity, monotonicity, convexity) play...
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Fast computation of all pairs of geodesic distances
Computing an array of all pairs of geodesic distances between the pixels...
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Comparative study and limits of different levelset formulations for the modeling of anisotropic grain growth
Four different finite element levelset (FELS) formulations are compare...
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MINES ParisTech
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.