A Comparative Study of ICA Filter Structures Learnt from Natural and Urban Images

Autor:	Christian Ziegaus, Elmar Lang
Rok vydání:	2001
Předmět:	Artificial neural network Computer science business.industry Speech recognition Gabor wavelet Image processing Pattern recognition Independent component analysis Haar wavelet Gabor filter Wavelet Filter (video) Artificial intelligence business
Zdroj:	Bio-Inspired Applications of Connectionism ISBN: 9783540422372 IWANN (2)
DOI:	10.1007/3-540-45723-2_35
Popis:	The Neural-JADE and various other ICA algorithms are applied to natural and urban image ensembles to learn appropriate filter structures. The latter are shown to be represented quantitatively by Gabor and Haar wavelets in case of natural and urban image stimuli, respectively. A quantitative comparison concerning various filter characteristics demonstrates the influence of various score functions upon the resulting filter structures. Quantitative comparison will be made also with neurophysiological characteristics of these structures.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cf88f42c23935ae8ea5c66f9cc5cbbc0 https://doi.org/10.1007/3-540-45723-2_35 Zobrazit plný text záznamu