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Publications associées (126)

Heterogeneous Face Recognition using Inter-Session Variability Modelling

Sébastien Marcel, Tiago De Freitas Pereira

The task of Heterogeneous Face Recognition consists in to match face images that were sensed in different modalities, such as sketches to photographs, thermal images to photographs or near infrared to photographs. In this preliminary work we introduce a no ...

IEEE2016

Statistical Fault Injection for Impact-Evaluation of Timing Errors on Application Performance

Andreas Peter Burg, Georgios Karakonstantis, Jeremy Hugues-Felix Constantin, Anupam Chattopadhyay, Zheng Wang

This paper proposes a novel approach to modeling of gate level timing errors during high-level instruction set simulation. In contrast to conventional, purely random fault injection, our physically motivated approach directly relates to the underlying circ ...

ACM2016

Statistical Fault Injection for Impact-Evaluation of Timing Errors on Application Performance

Andreas Peter Burg, Georgios Karakonstantis, Jeremy Hugues-Felix Constantin, Anupam Chattopadhyay, Zheng Wang

This paper proposes a novel approach to modeling of gate level timing errors during high-level instruction set simulation. hi contrast to conventional, purely random fault injection, our physically motivated approach directly relates to the underlying circ ...

Ieee2016

Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation

Aude Billard, Miao Li

We present a unified framework for grasp planning and in-hand grasp adaptation using visual, tactile, and proprioceptive feedback. The main objective of the proposed framework is to enable fingertip grasping by addressing problems of changed weight of the ...

Institute of Electrical and Electronics Engineers2016

Dexterous grasping under shape uncertainty

Aude Billard, Miao Li

An important challenge in robotics is to achieve robust performance in object grasping and manipulation, dealing with noise and uncertainty. This paper presents an approach for addressing the performance of dexterous grasping under shape uncertainty. In ou ...

Elsevier2016

BDD Minimization for Approximate Computing

Mathias Soeken, Arun Chandrasekharan

We present Approximate BDD Minimization (ABM) as a problem that has application in approximate computing. Given a BDD representation of a multi-output Boolean function, ABM asks whether there exists another function that has a smaller BDD representa ...

IEEE2016

An Overtaking Decision Algorithm for Networked Intelligent Vehicles Based on Cooperative Perception

Alcherio Martinoli, Milos Vasic, Inaki Navarro Oiza, Gael Lederrey

This paper presents an overtaking decision algorithm for networked intelligent vehicles. The algorithm is based on a cooperative tracking and sensor fusion algorithm that we previously developed. The ego vehicle is equipped with lane keeping and lane chang ...

Ieee2016

Automatic Fault Localization for BIP

Simon Bliudze, Qiang Wang

This paper presents a novel idea of automatic fault localization by exploiting counterexamples generated by a model checker. The key insight is that, if a candidate statement is faulty, it is possible to modify (i.e. correct) this statement so that the cou ...

Springer2015

Integrated Transport and Land Use Modeling for Sustainable Cities

Michel Bierlaire, Ricardo Daniel Hurtubia González

Integrated transport and land use models are an increasingly used tool for evaluation of urban policy and large scale projects. Although there is a well-built theoretical background supporting the existing models, there are few exhaustive descriptions of t ...

EPFL Press2015

Traveling Salesman in Reverse: Conditional Markov Entropy for Trajectory Segmentation

Patrick Thiran, Matthias Grossglauser, Mohamed Kafsi

We are interested in inferring the set of waypoints (or intermediate destinations) of a mobility trajectory in the absence of timing information. We find that, by mining a dataset of real mobility traces, computing the entropy of conditional Markov traject ...

IEEE2015

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