**Conference program**

**Monday
September 5th p.m.**

**Conference location: Sorbonne**

**Plenary talk I**

14h00: *Pointwise**
Organizing Projections ?*
Teuvo Kohonen

**Clustering I**

15h00: *Patterning and clustering ecological assemblages, *Muriel
Gevrey, Sovan Lek, Thierry Oberdorff, Young Seuk Park

15h20: *Clustering of context data using k-means with an integrate
and fire type neuron model, *John Flanagan

15h40: *U*F clustering: a new performant
“cluster-mining” method based on segmentation of Self-Organizing Maps, *Fabien Moutarde, Alfred Ultsch

**Control I**

15h00: *Design of automotive's complex electronic system based on SOM
clustering*, Stephan Brummund, Philipp
Nenninger, Simmi Saxena, Uwe Kiencke

15h20: *Self-organizing adaptive
controllers: Application to the inverted pendulum*, Tetsuya Minatohara, Tetsuo Furukawa

15h40: *A Recurrent Anticipatory
Self-Organized Map for Robust Time Series Prediction*, Samarth
Swarup, Kiran Lakkaraju, Nicholas Smith, Sylvian
Ray

**16h: Coffee break**

**Clustering II**

16h30: *Fast vector quantization
with topology learning*, Marcos M. Campos

16h50: *An Ant-Based
Self-Organizing Feature Maps Algorithm*, Chih-Chieh
Yang, Sheng-Chai Chi

17h10: *Clustering with SOM*:
U*C, Alfred Ultsch

**Control II**

16h30: *Control of unknown multivariable systems based on the
self-organizing maps, *Jeongho Cho,
José Príncipe, Mark A. Motter

16h50: *Multiple traveling salesmen
problem with hierarchy of cities in inspection task with limited visibility, *Jan
Faigl, Miroslav Kulich, Libor
Přeučil,

17h10: *Competitive Probabilistic Self-Organizing Map for Routing
Problems, *Hassan Ghaziri

17h30: *Optimizing the SOM for the playstation
2, *Stephen McGlinchey

**18h: Welcome party - "Salon décanal"**

**Tuesday
September 6th a.m.**

**Conference location: Carré des Sciences**

**Plenary talk II**

09h00: *Self Organizing Maps for
Time Series*, Barbara Hammer, Alessio Micheli, Nicolas Neubauer,
Alessandro Sperduti, Marc Strickert

**10h: Poster session I and
coffee break**

*Visual explorations in real estate landscape, *Eero Carlson, Pekka Rahkila

*Mnemonic SOMs: Recognizable Shapes for
Self-Organizing Maps, *Rudolf
Mayer, Dieter Merkl, Andreas Rauber

*On visual exploration of breast cancer data using the self-organizing
map, *Tomas Eklund,
Mikael Collan, Päivi Jalava, Teijo
Kuopio, Yrjö Collan

*Imprinted gene detection in Arabidopsis thaliana, *Reiner Schulz, Sushma Tiwari, Rod Scott, Rebecca Oakey

*On equiprobabilistic maps and plausible
density estimation, *Jorge Muruzábal, Susana Vegas-Azcárate

*Examining the behaviour of the Evolving Tree, *Jussi Pakkanen

*An Algorithm of SOM using Simulated Annealing in the Batch Update Phase
for Sequence Analysis, *Hiroshi Dozono, Hisao Tokushima, Shigeomi Hara, Yoshio Noguchi

*Kohonen** networks with graph-based augmented metrics, *Peter Andras, Olusola Idowu

*A large-scale Self-Organizing Map (SOM) constructed with the Earth
Simulator unveils sequence characteristics of a wide range of eukaryotic
genomes, *Takashi Abe, Hideaki
Sugawara, Shigehiko Kanaya,
Makoto Kinouchi, Yasaburo
Matsuura, Heizo Tokutaka, Toshimichi Ikemura

*The SOM reef - A new metaphoric visualization approach for self
organizing maps, *Tim W. Nattkemper

*Graph-based normalization for non-linear data analysis (II) : application to SOM optimization, *Catherine Aaron

*Binary SOM Based on Significance of Inputs and its Application to
Reproduction of GA, *Ryosuke Kubota,
Keiichi Horio, Takeshi Yamakawa

*Signature verifier based on self-organizing feature map, *Pavel Mautner, Václav Matoušek, Tomáš Maršálek

*Content adaptive compression of images using neural maps, *Udo Seiffert

*Torus** Self-Organizing Map for genome informatics, *Shinichi Horata, Toshimichi Ikemura, Tetsuyuki Yukawa

**Time series**

11h20: *Using self-organizing maps to adjust intra-day seasonality, *Walid Ben Omrane, Eric DeBodt

11h40: *On the need of unfolding pre-processing for time series
clustering, *Geoffroy Simon, John A. Lee, Michel
Verleysen

12h00: *A Descriptive Method to Evaluate the Number of Regimes in a
Switching Autoregressive Model, *Madalina Olteanu

12h20: *Quantifying similarity between time series using the SOM, *Hui Liu, José Príncipe, J. Chris Sackellares

**Neural Gas**

11h20: *Batch neural gas, *Marie Cottrell, Barbara Hammer,
Alexander Hasenfuss, Thomas Villmann

11h40: *Fuzzy labeled neural gas for fuzzy
classification, *Thomas Villmann, Barbara Hammer,
Frank-Michael Schleif, Tina Geweniger

12h00: *Efficient Knowledge Extraction using Unsupervised Neural
Network Models, *Jean-Charles Lamirel, Shadi Al Shehabi

12h20: *Online nonlinear mapping using the neural gas network, *Pablo
A. Estevez, Cristian J. Figueroa

**Lunch**

**Tuesday
September 6th p.m.**

**Conference location: Carré des Sciences**

**Plenary talk III**

14h00: *From Learning Metrics towards Dependency Exploration, *Samuel
Kaski

**15h: Poster session II and coffee break**

* A
novel self-organizing network determines the proper cluster structure
automatically, *Bin Tang, Malcolm Heywood,
Michael Shepherd

* Spherical
SOM with arbitrary number of neurons and measure of suitability, *Hirokazu Nishio, Md.
Altaf-Ul Amin, Ken Kurokawa, Kotaro Minato, Shigehiko
Kanaya,

* Gradient
visualization of grouped component planes on the SOM lattice, *Georg Pölzlbauer, Michael Dittenbach,
Andreas Rauber

* Using
the self-organizing map to design efficient RBF models for nonlinear channel
equalization, *Luís G. M. Souza, Guilherme Barreto, João Mota

* A
Generative Gaussian Graph to learn the topology of a set of points, *Michaël Aupetit

* Competing
Behavior of Two Kinds of SOMs
and its Application to Clustering, *Haruna
Matsushita, Yoshifumi Nishio

* PSOM+:
Parametrized Self-Organizing Maps for noisy and
incomplete data, *Stefan Klanke, Helge Ritter

* Robust
SOM for realistic data completion, *Bertrand Maillet, Paul Merlin, Patrick Rousset

* CASOM:SOM for Contingency Tables and Biplot,
*Rodolphe Priam

* Application
of Self Organized Maps and Curvilinear Component Analysis to the Discrimination
of the Vesuvius Seismic Signals, *Stefano
Masiello, Antonietta M.
Esposito, Silvia Scarpetta, Flora Giudicepietro,
Anna Esposito, Maria Marinaro

* mu-SOM : Weighting features during clustering, *Sébastien Guérif, Younès
Bennani, Eric Janvier

* Controversial
empirical results on batch versus one pass online algorithms, *Ana Isabel Gonzalez Acuña,
Manuel Graña Romay,

* Batch
Learning Algorithm of SOM with Attractive and Repulsive Data, *Tetsuo Furukawa, Satoshi Sonoh,
Keiichi Horio, Takeshi Yamakawa

* Kernel
self-organising maps and mixture networks, *Hujun
Yin, King Wai Lau

**Clustering III**

16h20: *TreeSOM**: cluster analysis
in the self-organizing map, *Elena V. Samsonova, Joost N. Kok, Ad P. IJzerman

16h40: *Considering topology in the clustering of the
Self-Organizing Maps, *Kadim Tasdemir,
Erzsébet Merényi

17h00: *The Profilograph: a toolbox for
the analysis and the segmentation of gas load curves, *Patrick Letrémy, Valérie Laffite, Sally Showk, Eric
Esposito, Marie Cottrell

**New architectures in SOM**

16h20: *Fast spherical self organizing map - Use of indexed geodesic
data structure-*, Yingxin Wu, Masahiro Takatsuka

16h40: *Enhancing clustering performance of feature maps using
randomness, *Rasika Amarasiri,
Damminda Alahakoon, Malin Premaratne, Kate Smith

17h00: *A hierarchically growing hyperbolic self-organizing map for
rapid structuring of large data sets, *Jörg Ontrup, Helge Ritter

**Wednesday
September 7th a.m.**

**Conference**** location:
Carré des Sciences**

**Plenary talk IV**

09h00: *SOMs** as a representation
infrastructure for signal processing and controls, *José Príncipe

**Pattern Recognition**

10h00: *Supervised Learning in Hyper-Column Model, *Atsushi
Shimada, Naoyuki Tsuruta, Rin-ichiro Taniguchi,

10h20: *Using multiple self-organizing architectures for object
recognition, *Alessio Plebe, Rosaria Grazia Domenella

10h40: *The predictive self-organizing map :
application to speech features extraction, *Bruno Gas, Mohamed Chetouani, Jean-Luc Zarader, Farid Feiz,

**Alternatives to SOM**

10h00: *Geo-SOM and its integration with geographic information
systems, *Fernando Bação, Victor Lobo, Marco Painho

10h20: *Improved Generalization Abilities by Topological Data Mapping,
*Hirokazu Madokoro, Kazuhito Sato, Masaki Ishii

10h40: *Understanding and reducing variability of SOM' neighbourhood
structure, *Patrick Rousset, Christiane
Guinot, Bertrand Maillet

**11H: Coffee break**

**Modular networks**

11h30: *Properties of the topographic product of experts, *Colin
Fyfe

11h50: *Modular network SOM: The architecture, the algorithm and
applications to nonlinear dynamical systems, *Syuji
Kaneko, Kazuhiro Tokunaga, Tetsuo Furukawa

12h10: *SOM ^{2} as "SOM of SOMs",
*Tetsuo Furukawa

**Adaptations of SOM**

11h30: M*ass-GRSOM: a flexible rule extraction for classification, *SE
Papadakis, VG Kaburlasos

11h50: *A fast algorithm for the self-organizing map on
dissimilarity data, *Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Golli

12h10: *A modification of the SOM algorithm to deal with
non-symmetric proximities, *Manuel
Martín-Merino, Alberto Muñoz

**Lunch**

**Wednesday September 7th p.m.**

**Conference location: Carré
des Sciences**

**Plenary talk V**

14h00 : *SOM's** mathematics*,
Jean-Claude Fort

**Mathematical aspects of SOM**

15h00: *Dynamical analysis of LVQ type learning rules, *Anarta Ghosh, Michael Biehl, Barbara Hammer

15h20: *Computing with activities, whu-structures
and a quantization model of the neural nets, *Matthias Reuter, Sabine Bostelmann,

15h40: *Relation between the som algorithm
and the distorsion measure, *Joseph Rynkiewicz

**Applications in medicine**

15h00: *Analysis of finger plethysmogram
using the Self-Organizing Map, *Shinya Urase,
Yoshio Maniwa, Daisuke Matsushita, Heizo Tokutaka, Kikuo Fujimura, Masaaki Ohkita,
Yutaka Fukui

15h20: *Application of unsupervised clustering methods to medical
imaging, *Anke Meyer-Baese,
Fabian Theis, P. Gruber,
Axel Wismueller, Helge
Ritter

15h40: *Homeostatic synaptic scaling in self-organizing maps, *Thomas
Sullivan,

**16h: Coffee break**

**Nonlinear analysis**

16h30: *Nonlinear ASSOM constituted of autoassociative
neural modules, *Kazuhiro Tokunaga, Tetsuo Furukawa

16h50: *Graph-based normalization for non-linear data analysis (I), *Catherine
Aaron

17h10: *Input Selection and Regression using the SOM, *Francesco
Corona, Amaury Lendasse

**Genome**

16h30: *'DiPPP' online self-improving
linear map for distance-preserving data analysis, *Marc Strickert,
Sascha Teichmann, Nese Sreenivasulu, Udo Seiffert

16h50: *A novel bioinformatics strategy for phylogenetic
study of genomic sequence fragments: self-organizing map (SOM) of oligonucleotide frequencies, *Takashi Abe, Toshimichi Ikemura, Shigehiko Kanaya, Makoto Kinouchi, Hideaki Sugawara

17h10: *SOMBRERO**: Integrating
self-organizing neural networks in the search for DNA binding motifs, *Shaun
Mahony, Panayiotis Benos, Terry J. Smith, Aaron Golden

**Conference dinner - **

**Thursday September 8th a.m.**

**Conference location: Sorbonne**

**Plenary talk VI**

09h00: *Applications of Brain-Inspired SOR Network to Controller
Design and Knowledge Acquisition, *Takanori Koga, Keiichi Horio,
Takeshi Yamakawa

**SOM as a projection method**

10h00: *Local multidimensional scaling with controlled tradeoff between trustworthiness and continuity, *Jarkko Venna, Samuel Kaski

10h20: *Assessing self organizing maps via contiguity analysis, *Ludovic Lebart

10h40: *A combined multidimensional scaling + self-organizing maps
method for exploratory analysis of qualitative data, *Elina
Miret, Francisco Garcia-Lagos, Gonzalo Joya, Hector Arazoza, Francisco Sandoval

**11h: Coffee break**

**Improvements of the SOM algorithm**

11h30: *Edgeworth**-expanded
topographic map formation, *Marc Van Hulle

11h50: *A new criterion to evaluate the stability of SOM, *Jérôme Blancher, Guy Lamarque,

12h10: *Generalization of the L _{p}
norm for time series and its application to Self-Organizing Maps, *John A.
Lee, Michel Verleysen

**Farewell party - "Salon décanal"**