ICA ist ein statistisches Verfahren, um versteckte Faktoren aus einer großen Anzahl von Messergebnissen herauszufiltern. Wichtige potentielle Anwendungen dieses Verfahrens sind Bildverarbeitung, Data Mining und Signaltrennung. Die Autoren sind Mitglieder einer Forschungsgruppe, die für innovative Ideen auf diesem Gebiet bekannt ist. Bereits heute bietet jede Konferenz über neuronale Netze oder Signalverarbeitung Veröffentlichungen zum Thema ICA; man erwartet, dass sich dieses Gebiet schnell etabliert und in die Studienpläne aufgenommen wird.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
AAPO HYVÄRINEN, PhD, is Senior Fellow of the Academy of Finland and works at the Neural Networks Research Center of Helsinki University of Technology in Finland.
JUHA KARHUNEN and ERKKI OJA are professors at the Neural Networks Research Center of Helsinki University of Technology in Finland.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : Very Good+. Hardcover, [xxi], 481 pages. Very Good+ condition. Size 9.5"x6.25". "Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in image processing, telecommunications, audio signal processing, and more." Book has moderate exterior shelfwear, else Fine condition, clean and unmarked. N° de réf. du vendeur 009588
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