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: SOM2 as "SOM of SOMs",
Tetsuo Furukawa
Adaptations of SOM
11h30: Mass-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:
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 Lp
norm for time series and its application to Self-Organizing Maps, John A.
Lee, Michel Verleysen
Farewell party - "Salon décanal"