Workshop
Principal manifolds
for data cartography and dimension reduction
August 24-26, 2006,
Michael Atiyah Building,
Lecture room 119
Leicester University,
Leicester, UK
The Program
The first day, 24.08.2006, Thursday
9:30 Registration and coffee
10:20 Opening
10:30 – 11:20 Balazs Kegl
A general overview of manifold learning, presenting the achievements of the last ten years and the challenges of future research. PRESENTATION
11:30 – 12:20 Boris Mirkin
Principal cluster analysis methods in different settings PRESENTATION
12:30 – 14:00
Lunch
14:00 – 14:50 Joachim Selbig
Integrated analysis of metabolite, gene expression, and other profile data: Missing value estimation, dimension reduction, clustering, and classification PRESENTATION
15:00 – 15:50 Andrei Zinovyev
Elastic maps with applications in bioinformatics PRESENTATION
16:00 – 16:20 Coffee
16:20 – 17:00 Rodolphe Sepulchre
Optimization on manifolds and ICA algorithms PRESENTATION
17:10 – 17:50 David Elizondo
Geometrical approaches for Artificial Neural Networks PRESENTATION
The second day, 25.08.2006, Friday
9:30 – 10:20 Alois Steindl and Hans Troger
Invariant manifolds in the dimension reduction for fluid conveying tubes PRESENTATION
10:30 – 11:10 Stephane Girard
Auto-associative models and generalized principal component analysis PRESENTATION
11:10 – 11:30 Coffee
11:30 – 12:20 Steven B. Damelin
A talk on dimension reduction and its connections to Paley Weiner theorems in scattering and imaging PRESENTATION
12:30 – 14:00 Lunch
14:00 – 14:50 Colin Fyfe
A family of topology preserving mappings for data visualisation PRESENTATION
15:00 – 15:50 Hujun Yin
Self-organising maps for data visualisation and principal manifold mapping PRESENTATION
16:00 – 16:20 Coffee
16:20 – 17:10 Liz Stuart
An Overview of Visualization Techniques for the Analysis of Large Datasets PRESENTATION
17:10 – 18:00 Jochen Einbeck
Local principal curves PRESENTATION
19:00 Conference dinner
The third day, 26.08.2006, Saturday
9:30 – 10:20 Donald Wunsch
Cluster analysis technique and dimension reduction approaches PRESENTATION
10:30 – 11:20 Uwe Kruger
Development and Application of Nonlinear PCA for Fault Diagnosis in Internal Combustion Engines PRESENTATION
11:20 – 11:40 Coffee
11:40 – 12:30 Ludger Evers
A simple algorithm for piecewise linear approximation to principal manifolds and its application to regression modelling PRESENTATION
12:40 – 13:30 Alexander Gorban
Topological grammars for data analysis PRESENTATION
13:30 – 14:20 Lunch
14:20 - … General discussion and Workshop closing