NOTICE: The time has changed: Tuesdays 14-16 at B333
The SOMs are also known as "Kohonen Maps" after their inventor, Academy Professor Teuvo Kohonen, who will give an opening lecture in the beginning of the course (Sept. 14, 14:15). The SOM is one of the main research topics of the Neural Networks Research Centre and the Laboratory of Computer and Information Science; for more information see http://www.cis.hut.fi/.
The seminar covers the state of the art of SOM research and applications. It is based on articles from the top researchers on SOM, collected in the new book "Kohonen Maps" (Editors: E. Oja & S. Kaski, Elsevier, Amsterdam, 1999). More details of the book can be found on the Web page of the course. There will be some books available in the laboratory. Additionally, the book "Self-Organizing Maps" (T. Kohonen, Springer, Berlin, 2nd Ed. 1997) is recommended although not necessary for the seminar. It is by far the most comprehensive treatment of SOMs.
Your task is to present the paper in such a way that the audience can understand the topic based on your presentation (at least in principle...) Some words of advice that may be useful:
|14.9.||Introduction to SOM by prof. Teuvo Kohonen;
practical arrangements about the course.
|21.9.||Simona Malaroiu||Value maps: Finding value in markets that are expensive||15|
|21.9.||Atte Saarela||A SOM-based sensing approach to robotic manipulation tasks||207|
|28.9.||Markus Varsta||Analyzing and representing multidimensional quantitative and qualitative data:Demographic study of the Rhone valley. The domestic consumption of the Canadian families.||1|
|28.9.||Razvan Cristescu||Active learning in Self-Organizing Maps||57|
|5.10.||Johan Himberg||Self-Organizing Maps on non-Euclidean spaces||97|
|5.10.||Markus Koskela||Tree structured Self-Organizing Maps||121|
|12.10.||Ville Viitaniemi||Growing self-organizing networks --- history, status quo, and perspectives||131|
|12.10.||Olli-Pekka Rinta-Koski||On the optimization of Self-Organizing Maps by genetic algorithms||157|
|19.10.||Henri Hakonen||Self organization of a massive text document collection||171|
|19.10.||Mikko Syrjälahti||Document classification with Self-Organizing Maps||183|
|26.10.||Jarmo Ritola||Self-Organising Maps in computer aided design of electronic circuits||231|
|26.10.||Timo Mäkelä||Modeling self-organization in the visual cortex||243|
|2.11.||Juha Raitio||Topology preservation in Self-Organizing Maps||279|
|2.11.||Jussi Ahola||LVQ and single trial EEG classification||317|
|9.11.||Vuokko Vuori||Chemometric analyses with Self Organising Feature Maps: A worked example of the analysis of cosmetics using Raman spectroscopy||335|
|9.11.||Tuomas Pantsar||Self-Organizing Maps for content-based image database retrieval||349|
|16.11.||Klaus Riederer||Indexing audio documents by using latent semantic analysis and SOM||363|
|16.11.||Antti Saarela||Self-Organizing Map in analysis of large-scale industrial systems||375|
|23.11.||Tommi Noponen||A spatio-temporal memory based on SOMs with activity diffusion||253|
|30.11.||Feedback seminar for project work; enroll by 16.11. by sending email to course assistant.|
See instructions for the project work.