Advances in Self Organizing Maps

Jose C. Principe Risto Miikkulainen This book constitutes the refereed proceedings of the 7th International Workshop on Advances in Self-Organizing Maps, WSOM 2009, held in St. Augustine, Florida, in June 2009.

Author: J.C. Principe

Publisher: Springer

ISBN: 3642023975

Category: Computers

Page: 374

View: 172

th These proceedings contain refereed papers presented at the 7 WSOM held at the Casa Monica Hotel, St. Augustine, Florida, June 8–10, 2009. We designed the wo- shop to serve as a regular forum for researchers in academia and industry who are interested in the exciting field of self-organizing maps (SOM). The program includes excellent examples of the use of SOM in many areas of social sciences, economics, computational biology, engineering, time series analysis, data visualization and c- puter science as well a vibrant set of theoretical papers that keep pushing the envelope of the original SOM. Our deep appreciation is extended to Teuvo Kohonen and Ping Li for the plenary talks and Amaury Lendasse for the organization of the special sessions. Our sincere thanks go to the members of the Technical Committee and other reviewers for their excellent and timely reviews, and above all to the authors whose contributions made this workshop possible. Special thanks go to Julie Veal for her dedication and hard work in coordinating the many details necessary to put together the program and local arrangements. Jose C. Principe Risto Miikkulainen

Advances in Self Organizing Maps

This book constitutes the refereed proceedings of the 8th International Workshop on Self-Organizing Maps, WSOM 2011, held in Espoo, Finland, in June 2011.

Author: Jorma Laaksonen

Publisher: Springer

ISBN: 3642215661

Category: Computers

Page: 368

View: 628

This book constitutes the refereed proceedings of the 8th International Workshop on Self-Organizing Maps, WSOM 2011, held in Espoo, Finland, in June 2011. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on plenaries; financial and societal applications; theory and methodology; applications of data mining and analysis; language processing and document analysis; and visualization and image processing.

Advances in Self Organizing Maps

Lobo, V., Cabral, P., Bacão, F.: Self organizing maps for urban modelling. In: Proc. 9th Int. Conf. on Geocomputation (2007) 6. Castro, A., Gómez, N.: Self-organizing map and cellular automata combined technique for advanced mesh ...

Author: Jorma Laaksonen

Publisher: Springer Science & Business Media

ISBN: 3642215653

Category: Computers

Page: 368

View: 838

This book constitutes the refereed proceedings of the 8th International Workshop on Self-Organizing Maps, WSOM 2011, held in Espoo, Finland, in June 2011. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on plenaries; financial and societal applications; theory and methodology; applications of data mining and analysis; language processing and document analysis; and visualization and image processing.

Advances in Self Organizing Maps

Our model formed a map in which one element corresponds to each pixel. The inference of lost pixels was conducted by self-organizing maps using pixel values as input. As any pixel was influenced by neighboring pixels corresponding to ...

Author: Pablo A. Estévez

Publisher: Springer Science & Business Media

ISBN: 3642352308

Category: Technology & Engineering

Page: 364

View: 257

Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields. This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods.

Advances in Self Organizing Maps and Learning Vector Quantization

Concurrent Self Organizing Maps (CSOMs) deal with the pattern classification problem in a parallel processing way, aiming to minimize a suitable objective function. Similarly, Active Contour Models (ACMs) (e.g., the Chan-Vese (CV ) ...

Author: Thomas Villmann

Publisher: Springer

ISBN: 3319076957

Category: Technology & Engineering

Page: 314

View: 804

The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 2–4, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on newest results in the field of supervised and unsupervised vector quantization like self-organizing maps for data mining and data classification. This 10th WSOM brought together more than 50 researchers, experts and practitioners in the beautiful small town Mittweida in Saxony (Germany) nearby the mountains Erzgebirge to discuss new developments in the field of unsupervised self-organizing vector quantization systems and learning vector quantization approaches for classification. The book contains the accepted papers of the workshop after a careful review process as well as summaries of the invited talks. Among these book chapters there are excellent examples of the use of self-organizing maps in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis and time series analysis. Other chapters present the latest theoretical work on self-organizing maps as well as learning vector quantization methods, such as relating those methods to classical statistical decision methods. All the contribution demonstrate that vector quantization methods cover a large range of application areas including data visualization of high-dimensional complex data, advanced decision making and classification or data clustering and data compression.

Advances in Self Organizing Maps

... M., Kojo, I.: Exploring Political Agendas with Advanced Visualizations and Interface Tools e-Service Journal 4(2), 47–63 (2006) 3. Deboeck, G., Kohonen, T. (eds.): Visual Explorations in Finance with Self- Organizing Maps.

Author: J.C. Principe

Publisher: Springer Science & Business Media

ISBN: 3642023967

Category: Computers

Page: 374

View: 580

This book constitutes the refereed proceedings of the 7th International Workshop on Advances in Self-Organizing Maps, WSOM 2009, held in St. Augustine, Florida, in June 2009. The 41 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers deal with topics in the use of SOM in many areas of social sciences, economics, computational biology, engineering, time series analysis, data visualization and theoretical computer science.

Advances in Self Organizing Maps Learning Vector Quantization Clustering and Data Visualization

Back B, Sere K, Vanharanta H (1998) Analyzing financial performance with self-organizing maps. Paper presented at the 1998 IEEE international joint conference on neural networks proceedings. IEEE world congress on computational ...

Author: Alfredo Vellido

Publisher: Springer

ISBN: 3030196429

Category: Technology & Engineering

Page: 342

View: 694

This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization.

Advances in Self Organizing Maps and Learning Vector Quantization

The Self-Organizing Map (SOM) [11] performs vector quantization through unsupervised learning and adds an output grid to achieve ... Advances in Intelligent Systems and Computing 428, DOI 10.1007/978-3-319-28518-4_9 107 ordered mapping, ...

Author: Erzsébet Merényi

Publisher: Springer

ISBN: 3319285181

Category: Technology & Engineering

Page: 370

View: 165

This book contains the articles from the international conference 11th Workshop on Self-Organizing Maps 2016 (WSOM 2016), held at Rice University in Houston, Texas, 6-8 January 2016. WSOM is a biennial international conference series starting with WSOM'97 in Helsinki, Finland, under the guidance and direction of Professor Tuevo Kohonen (Emeritus Professor, Academy of Finland). WSOM brings together the state-of-the-art theory and applications in Competitive Learning Neural Networks: SOMs, LVQs and related paradigms of unsupervised and supervised vector quantization.The current proceedings present the expert body of knowledge of 93 authors from 15 countries in 31 peer reviewed contributions. It includes papers and abstracts from the WSOM 2016 invited speakers representing leading researchers in the theory and real-world applications of Self-Organizing Maps and Learning Vector Quantization: Professor Marie Cottrell (Universite Paris 1 Pantheon Sorbonne, France), Professor Pablo Estevez (University of Chile and Millennium Instituteof Astrophysics, Chile), and Professor Risto Miikkulainen (University of Texas at Austin, USA). The book comprises a diverse set of theoretical works on Self-Organizing Maps, Neural Gas, Learning Vector Quantization and related topics, and an excellent variety of applications to data visualization, clustering, classification, language processing, robotic control, planning, and to the analysis of astronomical data, brain images, clinical data, time series, and agricultural data.

Advances in Self Organising Maps

Neural Networks 1999; 12(3):429-439 Pajunen P, Hyvärinen A, Karhunen J. Nonlinear blind source separation by selforganizing maps. Progress in Neural Information Processing: Proc. ICONIP'96, Hong Kong, 1996, pp 1207-1210 Der R, ...

Author: Nigel Allinson

Publisher: Springer Science & Business Media

ISBN: 1447107152

Category: Mathematics

Page: 289

View: 382