Publications related to Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments

De l'immersion à l'habiter dans les mondes virtuels. Le cas des villes dans Second Life

Cette recherche traite du phénomène immersif dans les mondes virtuels accessibles " grâce à " internet. Second Life sert de terrain d'analyse car il permet de discuter trois régimes immersifs : le perceptif, le narratif et le lien social. Au travers d'une ...

Université de Rennes 22013

CoRD: A Collaborative Framework for Distributed Data Race Detection

George Candea, Cristian Zamfir, Baris Can Cengiz Kasikci

Modern concurrent software is riddled with data races and these races constitute the source of many problems. Data races are hard to detect accurately before software is shipped and, once they cause failures in production, developers find it challenging to ...

Usenix2012

Challenges and Opportunities in Self-Managing Scientific Databases

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Thomas Heinis, Ioannis Alagiannis, Farhan Tauheed

Advances in observation instruments and abundance of computational power for simulations encourage scientists to gather and produce unprecedented amounts of increasingly complex data. Organizing data automatically to enable efficient and unobstructed acces ...

2011

Automatic recovery of missing amplitudes and phases in tilt-limited electron crystallography of two-dimensional crystals

Henning Paul-Julius Stahlberg

Electron crystallography of 2D protein crystals provides a powerful tool for the determination of membrane protein structure. In this method, data is acquired in the Fourier domain as randomly sampled, uncoupled, amplitudes and phases. Due to physical cons ...

American Physical Society (APS)2011

ERP data sharing framework using the Generic Product Model (GPM)

Rémy Glardon, Naoufel Cheikhrouhou, Michel Pouly, Souleïman Naciri

Nowadays all product life cycle processes are investigated deeply in order to get an advantage over competitors To support these processes several software applications are available However this wide range of heterogeneous applications leads to a large va ...

Elsevier2011

Geometry-aware analysis of high-dimensional visual information sets

Effrosyni Kokiopoulou

Over the past few decades we have been experiencing a data explosion; massive amounts of data are increasingly collected and multimedia databases, such as YouTube and Flickr, are rapidly expanding. At the same time rapid technological advancements in mobil ...

EPFL2009

Experiences with Reproducible Research in Various Facets of Signal Processing Research

Martin Vetterli, Andrea Ridolfi, Guillermo Barrenetxea Kobas, Ivana Jovanovic, Patrick Vandewalle

How often have you been able to implement an algorithm as it is described in a paper? And when you did, were you confident that you had exactly the same parameter values and results as the authors of the paper? All too often, articles do not describe all t ...

2007

Can we assess the model complexity for a bioprocess: theory and example of the anaerobic digestion process

Benoît Chachuat, Olivier Bernard

In this paper we propose a methodology to determine the structure of the pseudo-stoichiometric coefficient matrix K in a mass balance based model, i.e. the maximal number of biomasses that must be taken into account to reproduce an available data set. It c ...

2006

A Kalman filtering algorithm for regularization networks

Giancarlo Ferrari Trecate

Regularization networks are nonparametric estimators obtained from the application of Tychonov regularization or Bayes estimation to the hypersurface reconstruction problem. With the usual algorithm, the computation of the weights scales as

O(n^3)

where ...

2000

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

Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments

Graph Chatbot

Chat with Graph Search

De l'immersion à l'habiter dans les mondes virtuels. Le cas des villes dans Second Life

CoRD: A Collaborative Framework for Distributed Data Race Detection

Challenges and Opportunities in Self-Managing Scientific Databases

Automatic recovery of missing amplitudes and phases in tilt-limited electron crystallography of two-dimensional crystals

ERP data sharing framework using the Generic Product Model (GPM)

Geometry-aware analysis of high-dimensional visual information sets

Experiences with Reproducible Research in Various Facets of Signal Processing Research

Can we assess the model complexity for a bioprocess: theory and example of the anaerobic digestion process

A Kalman filtering algorithm for regularization networks

Mixture models for unsupervised and supervised learning

Can we assess the model complexity for a bioprocess: theory and example of the anaerobic digestion process

Experiences with Reproducible Research in Various Facets of Signal Processing Research

Geometry-aware analysis of high-dimensional visual information sets

Automatic recovery of missing amplitudes and phases in tilt-limited electron crystallography of two-dimensional crystals

Challenges and Opportunities in Self-Managing Scientific Databases

CoRD: A Collaborative Framework for Distributed Data Race Detection

De l'immersion à l'habiter dans les mondes virtuels. Le cas des villes dans Second Life

A Kalman filtering algorithm for regularization networks

Mixture models for unsupervised and supervised learning

ERP data sharing framework using the Generic Product Model (GPM)