Publication

System Support for Robust Distributed Learning

Publications associées (63)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

A hardware-software codesign framework for cellular computing

Pierre-André Mudry

Until recently, the ever-increasing demand of computing power has been met on one hand by increasing the operating frequency of processors and on the other hand by designing architectures capable of exploiting parallelism at the instruction level through h ...

EPFL2009

Joint Pose Estimator and Feature Learning for Object Detection

Pascal Fua, François Fleuret, Karim Ali, David Hasler

A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, and instead learns a single classifier that has the inherent ability to deform ba ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Optimal application-oriented resource brokering in a high performance computing grid

Vincent Keller

In the world of High Performance Computing (newly renamed "High Productivity Computing"), where the race for performance is on, where the hunt for the last Flop rages and where the developers swear by the Cult of Power, the different applications have diff ...

EPFL2008

Pervasive Computing with Frugal Objects

Rachid Guerraoui, Maxime Monod, Benoît Garbinato, Jesper Honig Spring

This paper presents a computing model for resource-limited mobile devices that might be ubiquitously deployed in private and business environments. The model integrates a strongly-typed event-based communication paradigm with abstractions for frugal contro ...

2007

Pervasive Computing with Frugal Objects

Rachid Guerraoui, Maxime Monod, Benoît Garbinato, Jesper Honig Spring

2007

Frugal Mobile Objects

Rachid Guerraoui, Maxime Monod, Benoît Garbinato, Jesper Honig Spring

This paper presents a computing model for resource-limited mobile devices. The originality of the model lies in the integration of a stronglytyped event-based communication paradigm with abstractions for frugal control, assuming a small footprint runtime. ...

2006

Gaussian Processes for Machine Learning

Matthias Seeger

Gaussian processes (GPs) are natural generalisations of multivariate Gaussian random variables to infinite (countably or continuous) index sets. GPs have been applied in a large number of fields to a diverse range of ends, and very many deep theoretical an ...

World Scientific Publishing2004

Mixture models for unsupervised and supervised learning

In a society which produces and consumes an ever increasing amount of information, methods which can make sense out of al1 this data become of crucial importance. Machine learning tries to develop models which can make the information load accessible. Thre ...

EPFL2000

Mixture Models for Unsupervised and Supervised Learning

In a society which produces and consumes an ever increasing amount of information, methods which can make sense out of all this data become of crucial importance. Machine learning tries to develop models which can make the information load accessible. Thre ...

IDIAP2000

Mixture Models for Unsupervised and Supervised Learning

École Polytechnique Fédérale de Lausanne, Computer Science Department2000