
-
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Reinforcement Learning (RL) aims at learning an optimal behavior policy ...
read it
-
Deep Sensor Fusion for Real-Time Odometry Estimation
Cameras and 2D laser scanners, in combination, are able to provide low-c...
read it
-
3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction
We reconstruct 3D deformable object through time, in the context of a li...
read it
-
Supervised Quantile Normalisation
Quantile normalisation is a popular normalisation method for data subjec...
read it
-
YoTube: Searching Action Proposal via Recurrent and Static Regression Networks
In this paper, we present YoTube-a novel network fusion framework for se...
read it
-
Digits that are not: Generating new types through deep neural nets
For an artificial creative agent, an essential driver of the search for ...
read it
-
Prior-based Hierarchical Segmentation Highlighting Structures of Interest
Image segmentation is the process of partitioning an image into a set of...
read it
-
Network-Guided Biomarker Discovery
Identifying measurable genetic indicators (or biomarkers) of a specific ...
read it
-
Automatic Selection of Stochastic Watershed Hierarchies
The segmentation, seen as the association of a partition with an image, ...
read it
-
Learning the Structure for Structured Sparsity
Structured sparsity has recently emerged in statistics, machine learning...
read it
-
A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images
A general framework of spatio-spectral segmentation for multi-spectral i...
read it
-
Consistency of random forests
Random forests are a learning algorithm proposed by Breiman [Mach. Learn...
read it
-
Using Latent Binary Variables for Online Reconstruction of Large Scale Systems
We propose a probabilistic graphical model realizing a minimal encoding ...
read it
-
The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures
Motivation: Biomarker discovery from high-dimensional data is a crucial ...
read it
-
A bagging SVM to learn from positive and unlabeled examples
We consider the problem of learning a binary classifier from a training ...
read it
-
Increasing stability and interpretability of gene expression signatures
Motivation : Molecular signatures for diagnosis or prognosis estimated f...
read it
-
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...
read it
-
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...
read it
-
A path following algorithm for the graph matching problem
We propose a convex-concave programming approach for the labeled weighte...
read it
-
An Algorithm for Supervised Driving of Cooperative Semi-Autonomous Vehicles (Extended)
Before reaching full autonomy, vehicles will gradually be equipped with ...
read it
-
HPC Curriculum and Associated Ressources in the Academic Context
Hardware support for high-performance computing (HPC) has so far been su...
read it
-
Basic Parallel and Distributed Computing Curriculum
With the advent of multi-core processors and their fast expansion, it is...
read it
-
Machine learning and genomics: precision medicine vs. patient privacy
Machine learning can have major societal impact in computational biology...
read it
-
Invariant Smoothing on Lie Groups
In this paper we propose a (non-linear) smoothing algorithm for group-af...
read it
-
Light Virtual Reality systems for the training of conditionally automated vehicle drivers
In conditionally automated vehicles, drivers can engage in secondary act...
read it
-
Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation
This paper presents an algorithm to simulate Gaussian random vectors who...
read it
-
Fusing Laser Scanner and Stereo Camera in Evidential Grid Maps
Automation driving techniques have seen tremendous progresses these last...
read it
-
Polarized Rewriting and Tableaux in B Set Theory
We propose and extension of the tableau-based first-order automated theo...
read it
-
Coupled Longitudinal and Lateral Control of a Vehicle using Deep Learning
This paper explores the capability of deep neural networks to capture ke...
read it
-
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...
read it
-
Multiview Based 3D Scene Understanding On Partial Point Sets
Deep learning within the context of point clouds has gained much researc...
read it
-
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...
read it
-
Stabilized MorteX method for mesh tying along embedded interfaces
We present a unified framework to tie overlapping meshes in solid mechan...
read it
-
An LSTM Network for Real-Time Odometry Estimation
The use of 2D laser scanners is attractive for the autonomous driving in...
read it
-
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks
Dropout is a regularisation technique in neural network training where u...
read it
-
Path-planning microswimmers can swim efficiently in turbulent flows
We develop an adversarial-reinforcement learning scheme for microswimmer...
read it
-
Generalized mean shift with triangular kernel profile
The mean shift algorithm is a popular way to find modes of some probabil...
read it
-
OpenMP Parallelization of Dynamic Programming and Greedy Algorithms
Multicore has emerged as a typical architecture model since its advent a...
read it
-
Learning,Generating and Adapting Wave Gestures for Expressive Human-Robot Interaction
This study proposes a novel imitation learning approach for the stochast...
read it
-
Hard Shape-Constrained Kernel Machines
Shape constraints (such as non-negativity, monotonicity, convexity) play...
read it
-
Fast computation of all pairs of geodesic distances
Computing an array of all pairs of geodesic distances between the pixels...
read it