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- W160048092 abstract "It has been well known that ICA can extract edge filters from natural scenes. However, it has been also known that the existing cumulant-based ICA can not extract edge filters. It suggests that the simple ICA model is insufficient for explaining the properties of natural scenes. In this paper, we propose a highly overcomplete model for natural scenes. Besides, we show that the 4-th order covariance has a positive constant lower bound under this model. Then, a new cumulant-based ICA algorithm is proposed by utilizing this lower bound. Numerical experiments show that this cumulant-based algorithm can extract edge filters." @default.
- W160048092 created "2016-06-24" @default.
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- W160048092 date "2010-01-01" @default.
- W160048092 modified "2023-09-30" @default.
- W160048092 title "Partial Extraction of Edge Filters by Cumulant-Based ICA under Highly Overcomplete Model" @default.
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- W160048092 doi "https://doi.org/10.1007/978-3-642-17534-3_78" @default.
- W160048092 hasPublicationYear "2010" @default.
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