All Years Seminars
[INMA] 2009-11-17 (14.00) : A Systems Biology Approach to Apoptosis Signalling
At Euler building
Speaker :
Eric
BULLINGER (ULg)
Abstract : Apoptosis is an important physiological process crucially involved in
the development and homeostasis of multi-cellular organisms. Although
the major signalling pathways leading from the extrinsic induction to
the execution of apoptosis have been unravelled, a detailed mechanistic
understanding of the complex underlying network and the signal crosstalk
remains elusive. A systems biology approach allows to combine diverse
data into mathematical models to perform predictive simulations and
testing of quantitative and dynamical hypotheses. The modelling process
furthermore reveals theoretical and computational challenges.
[INMA] 2009-11-10 (14.00) : Identifiability, informativity, information matrix and the Prediction Error criterion: a new look at the connections
At Euler building
Speaker :
Gevers, Michel
Abstract : This seminar will present the results of 3 years of work
with Alex Bazanella (Universidade Federal do Rio Grande do Sul),
Xavier Bombois (Delft University) and Ljubisa Miskovic (EPFL,
Lausanne) on the connections between four different ingredients in
Prediction Error Identification: the information content of the data,
the identifiability of the model structure, the information matrix,
and the minimum (or minima) of the Prediction Error Criterion. We show
that by introducing a new concept of local informativity of the data,
one can establish a number of nice equivalences between these four
ingredients.
[INMA] 2009-11-03 (14.00) : Multi-sensored vision for autonomous production of personalized video summaries
At Euler building
Speaker :
De Vleeschouwer, Christophe
Abstract :
Today's media consumption evolves towards increased user-centric adaptation
of contents, to meet the requirements of users having different expectations
in terms of story-telling, and heterogeneous constraints in terms of access
devices. Individuals and organizations want to access dedicated contents
through a personalized service that is able to provide what they are
interested in, at the time when they want it, and through the distribution
channel of their choice. In this talk, we explain how it is possible to
address this challenge by merging computer vision tools with optimization
and resource allocation mechanisms, to automate the collection and
distribution of audiovisual contents.
In a typical application scenario, the sensor network for media acquisition
is composed of (microphones and) cameras, which, for example, cover a
basket-ball field. Distributed analysis and interpretation of the scene are
exploited to decide what to show or not to show about the event, so as to
produce a video composed of a valuable subset from the streams provided by
each camera. The process involves numerous integrated technologies and
methodologies, including but not limited to automatic scene analysis, camera
viewpoint selection and control, and generation of summaries through automatic
organization of stories. Considering the problem in a multi-camera
environment not only mitigates the difficulty of scene understanding caused
by reflection, occlusion and shadow in the single view case, but also offers
higher flexibility in producing visually pleasant video reports. In final,
multi-camera autonomous production/summarization can provide practical
solutions to a wide range of applications, such as personalized access to
local sport events through a web portal or a mobile hand-set, cost-effective
and fully automated production of content dedicated to small-audience, e.g.
souvenirs DVD, university lectures, conference, etc, and interactive
browsing and automated summarization for video surveillance.
[INMA] 2009-10-27 (14.00) : Dimensionality reduction: from PCA to recent nonlinear techniques
At Euler building
Speaker :
Lee, John Aldo
Abstract :
Dimensionality reduction is an old yet unsolved problem, with many applications in data visualization, knowledge discovery, and machine learning in general.
Our aim in this talk will be to review several developments in the field of dimensionality reduction, with a particular focus on nonlinear methods.
As an introduction, we will point out some weird properties of high dimensional spaces, which will motivate the use of dimensionality reduction.
Next, we will go back in time and start our review with a short reminder about well known techniques such as principal component analysis and multidimensional scaling.
Our travel into time will also bring us to visit Sammon mapping and other methods based on distance preservation.
Next, we will come across self-organizing maps and auto-encoders with bottleneck neural networks.
Some spectral methods such as Isomap and locally linear embedding will be reviewed as well.
A glance at recent methods based on similarity preservation such as stochastic neighbor embedding will close the survey.
Finally, we will try to identify the relationships between the different approaches, and say a few words about quality criteria for dimensionality reduction techniques.
[INMA] 2009-10-20 (14.00) : Fault-tolerant control - is it possible?
At Euler building
Speaker :
Jan
MACIEJOWSKI (University of Cambridge)
Abstract :
A real demand now exists for fault-tolerant control systems.
This talk gives some examples in which this arises, drawn from process
control, automotive and aerospace applications. But fault-tolerance is a
very ambitious objective; the paper examines critically what has been
achieved so far, and what it might be possible to achieve. It also
criticises current academic work on fault-tolerant control, and speculates
a little on how progress might be achieved. The paper is illustrated by
examples from real applications, particularly from the aerospace sector.
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