Publications associées à Probabilistic Mining of Socio-Geographic Routines from Mobile Phone Data

On Data-Centric Trust Establishment in Ephemeral Ad Hoc Networks

Jean-Pierre Hubaux, Panagiotis Papadimitratos, Maxime Raya

We argue that the traditional notion of trust as a relation among entities, while useful, becomes insu±cient in ephemeral ad hoc networks. In this paper, we address the challenge of extending the traditional notion of trust to data-centric trust, that is, ...

2008

Normalisation of Histogrammed List Mode Data

Many PET scanners nowadays have the possibility to record event-by-event information, known as list mode data. This has the advantage of keeping the data in the highest possible resolution (both temporal and spatial). In most cases, list mode data are then ...

2008

Discovering Human Routines from Cell Phone Data with Topic Models

Daniel Gatica-Perez, Katayoun Farrahi

We present a framework to automatically discover people's routines from information extracted by cell phones. The framework is built from a probabilistic topic model learned on novel bag type representations of activity-related cues (location, proximity an ...

2008

Discovering Human Routines from Cell Phone Data with Topic Models

Daniel Gatica-Perez, Katayoun Farrahi

We present a framework to automatically discover people's routines from information extracted by cell phones. The framework is built from a probabilistic topic model learned on novel bag type representations of activity-related cues (location, proximity an ...

IDIAP2008

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Daniel Gatica-Perez, Katayoun Farrahi

We present a framework built from two Hierarchical Bayesian topic models to discover human location-driven routines from mobile phones. The framework uses location-driven bag representations of people's daily activities obtained from celltower connections. ...

2008

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Daniel Gatica-Perez, Katayoun Farrahi

We present a framework built from two Hierarchical Bayesian topic models to discover human location-driven routines from mobile phones. The framework uses location-driven bag representations of people's daily activities obtained from celltower connections. ...

IDIAP2008

Daily Routine Classification from Mobile Phone Data

Daniel Gatica-Perez, Katayoun Farrahi

The automatic analysis of real-life, long-term behavior and dynamics of individuals and groups from mobile sensor data constitutes an emerging and challenging domain. We present a framework to classify people's daily routines (defined by day type, and by g ...

IDIAP2007

Exploitation de connaissances sémantiques externes dans les représentations vectorielles en recherche documentaire

Florian Seydoux

The work presented in this thesis deals with several problems met in information retrieval (IR), task which one can summarise as identifying, in a collection of "documents", a subset of documents carrying a sought information, i.e.. relevant for a request ...

EPFL2006

Building exposure: synergy of interaction and narration through the social channel

Daniel Thalmann, Bruno Herbelin, Michal Ponder

The ability to build and control exposure through a seamless synergy of interaction and narration is a strongly required feature of a new type of immersive-VR training and therapy system. This paper presents a practical approach for immersive-VR training a ...

MIT Press2005

Scaling of dynamics with the range of interaction in short-range attractive colloids

Giuseppe Foffi, Francesco Sciortino

We numerically study the dependence of the dynamics on the range of interaction Δ for the short-range square well potential. We find that, for small Δ, dynamics scale exactly in the same way as thermodynamics, both for Newtonian and Brownian microscopic dy ...

2005

Probabilistic Mining of Socio-Geographic Routines from Mobile Phone Data

On Data-Centric Trust Establishment in Ephemeral Ad Hoc Networks

Normalisation of Histogrammed List Mode Data

Discovering Human Routines from Cell Phone Data with Topic Models

Discovering Human Routines from Cell Phone Data with Topic Models

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Daily Routine Classification from Mobile Phone Data

Exploitation de connaissances sémantiques externes dans les représentations vectorielles en recherche documentaire

Building exposure: synergy of interaction and narration through the social channel

Scaling of dynamics with the range of interaction in short-range attractive colloids

Graph Chatbot

Chattez avec Graph Search

Building exposure: synergy of interaction and narration through the social channel

Normalisation of Histogrammed List Mode Data

Discovering Human Routines from Cell Phone Data with Topic Models

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

On Data-Centric Trust Establishment in Ephemeral Ad Hoc Networks

Discovering Human Routines from Cell Phone Data with Topic Models

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Daily Routine Classification from Mobile Phone Data

Exploitation de connaissances sémantiques externes dans les représentations vectorielles en recherche documentaire

Scaling of dynamics with the range of interaction in short-range attractive colloids