Conference Program

Monday, June 8

8:00: Registration

 8:30- 9:30       Plenary
            Chair: Jose Principe

            On the quantization error in SOM vs. VQ: A critical
                and systematic study
            - Teuvo Kohonen, Ilari T. Nieminen, and Timo Honkela

 9:30-10:00 Break

10:00-11:40 Session 1: SOM Extensions
            Chair: Jose Principe

            Functional principal component learning using Oja's
            method and Sobolev norms
            - Thomas Villmann and Barbara Hammer

            Network-structured particle swarm optimizer with
            various topology and its behaviors
            - Haruna Matsushita and Yoshifumi Nishio

            Elimination of useless neurons in incremental
            learnable self-organizing map
            - Atsushi Shimada and Rin-ichiro Taniguchi

            Application of supervised Pareto learning
            self-organizing maps and its incremental learning
            - Hiroshi Dozono, Shigeomi Hara, Shisuke Itou, and
              Masanori Nakakuni

            Self-organizing maps with non-cooperative strategies
            (SOM-NC)
            - Antonio Neme, Sergio Hernandez, Omar Neme, and
              Leticia Hernandez

11:40- 1:10 Lunch on your own

 1:10- 2:50 Session 2: Cognitive Science and Neuroscience
            Chair: Risto Miikkulainen

            Self-organization of tactile receptive fields:
            Exploring their textural origin and their
            representational properties
            - Choonseog Park, Heeyoul Choi, and Yoonsuck Choe

            Top-down control of learning in biological
            self-organizing maps
            - Thomas Trappenberg, Pitoyo Hartono, and Douglas
              Rasmusson

            Concept mining with self-organizing maps for the
            semantic web
            - Timo Honkela and Matti Pöllä

            Representing semantic graphs in a self-organizing map
            - Marshall R. Mayberry, III and Risto Miikkulainen

            Modeling the bilingual lexicon of an individual subject
            - Risto Miikkulainen and Swathi Kiran

 2:50- 3:20 Break

 3:20- 5:00 Session 3: Financial and Social Applications
            Chair: Amaury Lendasse

            Construction of a general physical condition judgment
            system using acceleration plethysmogram pulse-wave
            analysis
            - Heizo Tokutaka, Yoshio Maniwa, Eikou Gonda, Masashi
              Yamamoto, Toshiyuki Kakihara, Masahumi Kurata, Kikuo
              Fujimura, Li Shigang, and Masaaki Ohkita

            Analyzing domestic violence with topographic maps: A
            comparative study
            - Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido
              Dedene, and Marc M. Van Hulle

            Generalized self-organizing mixture autoregressive
            model
            - Hujun Yin and He Ni

            Analysis of parliamentary election results and
            socio-economic situation using self-organizing map
            - Pyry Niemelä and Timo Honkela

            Sparse linear combination of SOMs for data imputation:
            Application to financial problems 
            - Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul
              Merlin, Bertrand Maillet, Eric Séverin and Amaury
              Lendasse

6:00 - 8:00 Reception - Casa Monica Hotel

Tuesday, June 9

 8:30- 9:30       Plenary
            Chair: Risto Miikkulainen

             Dynamic self-organization in language
            acquisition and representation 
            - Ping Li

 9:30-10:00 Break

10:00-11:40 Session 4: Image processing and vision
            Chair: Hujun Yin

            Line image classification by NGxSOM: Application to
            handwritten character recognition 
            - Makoto Otani, Kouichi Gunya, and Tetsuo Furukawa

            Incremental figure-ground segmentation using localized
            adaptive metrics in LVQ      
            - Alexander Denecke, Heiko Wersing, Jochen J. Steil,
              and Edgar Körner

            Early recognition of gesture patterns using sparse
            code of self-organizing map 
            - Manabu Kawashima, Atsushi Shimada, and Rin-ichiro
              Taniguchi

            Exploiting an SOM-hybrid supervised model for the
            prediction of underlying physical parameters from
            near-IR spectra of planetary surfaces
            - Lili Zhang, Erzsébet Merényi, William M. Grundy, and
              Eliot F. Young

            ViSOM for dimensionality reduction in face recognition
            - Weilin Huang and Hujun Yin

11:40- 1:10 Lunch on your own

 1:10- 2:50 Session 5: Clustering
            Chair: Thomas Villmann

            Clustering hierarchical data using self-organizing
            map: A graph-theoretical approach 
            - Argyris Argyrou

            Bag-of-features codebook generation by self-organisation
            - Teemu Kinnunen, Joni-Kristian Kamarainen, Lasse
              Lensu, and Heikki Kälviäinen

            Optimal combination of SOM search in best-matching
            units and map neighborhood
            - Mats Sjöberg and Jorma Laaksonen

            Clustering with swarm algorithms compared to emergent
            SOM
            - Lutz Herrmann and Alfred Ultsch

            Fuzzy variant of affinity propagation in comparison to
            median fuzzy c-means   
            - T. Geweniger, D. Zühlke, B. Hammer, and T. Villmann

 2:50- 3:20 Break

 3:20- 5:00 Session 6: Visualization
            Chair: Axel Wismüller

            Visualization by linear projections as information
            retrieval
            - Jaakko Peltonen

            Cartograms, self-organizing maps, and magnification control
            - Roberto Henriques, Victor Lobo, and Fernando Bação

            Analytic comparison of self-organising maps
            - Rudolf Mayer, Robert Neumayer, Doris Baum, and
              Andreas Rauber

            The exploration machine: A novel method for data
            visualization
            - Axel Wismüller

            A computational framework for nonlinear dimensionality
            reduction and clustering
            - Axel Wismüller

 6:00- 8:00 Banquet - Casa Monica Hotel

 

Wednesday, June 10

 8:30-10:10       Session 7: Sequence Processing
            Chair: Thomas Martinetz

            Incremental unsupervised time series analysis using
            merge growing neural gas     
            - Andreas Andreakis, Nicolai v. Hoyningen-Huene,
              and Michael Beetz

            Gamma SOM for temporal sequence processing     
            - Pablo A. Estévez and Rodrigo Hernandez

            Time series clustering for anomaly detection using
            competitive neural networks 
            - Guilherme Barreto and Leonardo Aguayo

            Towards semi-supervised manifold learning: UKR with
            structural hints
            - Jan Steffen, Stefan Klanke, Sethu Vijayakumar, and
              Helge Ritter

            Approaching the time dependent cocktail party problem
            with online sparse coding neural gas     
            - Kai Labusch, Erhardt Barth, and Thomas Martinetz

10:10-10:40 Break

10:40-12:20 Session 8: Science and Engineering Applications
            Chair: Marie Cottrell

            Batch-learning self-organizing map for predicting
            functions of poorly-characterized proteins massively
            accumulated
            - Takashi Abea, Shigehiko Kanaya, and Toshimichi
              Ikemura

            Hierarchical PCA using tree-SOM for the identification
            of bacteria
            - Stephan Simmuteit, Frank-Michael Schleif, Thomas
              Villmann, and Markus Kostrzewa   

            Career-path analysis using optimal matching and
            self-organizing maps
            - Sébastien Massoni, Madalina Olteanu, and Patrick
              Rousset

            On the finding process of volcano-domain ontology
            components using self-organizing maps    
            - J. R. G. Pulido, M. A. Arechiga, E. M. R. Michel,
              G. Reyes, and V. Zobin

            Fault prediction in aircraft engines using
            self-organizing Maps
            - Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien
              François, Geoffroy Hallaux, Jérôme Lacaille, and
              Michel Verleysen