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Data-driven Neuroscience: Enabling Breakthroughs Via Innovative Data Management

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How to evaluate the robustness of airlines schedules

Niklaus Eggenberg

Airlines schedules are built such as to maximize expected profit. Such schedules turn out to be more sensitive to delays and are hence unstable. The trend has thus evolved towards robust schedules, trading off between sensitivity with respect to disruption ...

2009

Modeling synchronous systems in BIP

Joseph Sifakis

We present a general approach for modeling synchronous component-based systems. These are systems of synchronous components strongly synchronized by a common action that initiates steps of each component. We propose a general model for synchronous systems. ...

2009

Storing and Indexing Spatial Data in P2P Systems

The peer-to-peer (P2P) paradigm has become very popular for storing and sharing information in a totally decentralized manner. At first, research focused on P2P systems that host 1D data. Nowadays, the need for P2P applications with multidimensional data h ...

Institute of Electrical and Electronics Engineers2009

The 3A Contextual Ranking System: Simultaneously Recommending Actors, Assets, and Group Activities

Denis Gillet, Christophe Salzmann, Stéphane Sire

In this paper, we propose a personalized and contextual ranking algorithm implemented on top of the 3A interaction model. The latter is a generic model intended for designing and describing social and collaborative learning platforms integrating Actors, As ...

ACM2009

Graphical display for annual climate-based daylight simulation

Marilyne Andersen, Magali Bodart

Due to daylight variability, a design cannot be thoroughly assessed using single-moment simulations, which is why we need dynamic performance metrics like Daylight Autonomy and Useful Daylight Illuminance. Going one step further, the annual variation in pe ...

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

Embedding Motion in Model-Based Stochastic Tracking

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filtering (PF) is now established as one of the most popular methods for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states, and the ...

2006

Embedding motion in model-based stochastic tracking

Daniel Gatica-Perez, Jean-Marc Odobez

2004

Simulation of Pedestrian Behaviour using a Discrete Choice Model Calibrated on Actual Motion Data

Michel Bierlaire, Gianluca Antonini, Matthias Weber

Pedestrian behavioral modeling is a topic that is receiving more and more attention in different areas of application such as panic analysis, building evacuation and surveillance systems. We propose a model based on discrete choice theory for pedestrian dy ...

2004

An Implicit Motion Likelihood for Tracking with Particle Filters

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filters are now established as the most popular method for visual tracking. Within this framework, it is generally assumed that the data are temporally independent given the sequence of object states. In this paper, we argue that in general the da ...

IDIAP2003