An easily computable eight times overcomplete ICA method for image data

被引：0

作者：

Inki, M ^{[1
]}

机构：

[1] Helsinki Univ Technol, Neural Networks Res Ctr, FI-02015 Helsinki, Finland

来源：

INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, PROCEEDINGS | 2006年 / 3889卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Here we present a procedure for finding an eight times overcomplete ICA description of image data using the symmetries defined by the rigid motions of a square. The procedure for estimating the basis requires only a small change to any classic ICA procedure and the data representation in this overcomplete description is unique. Coding and decoding in this description are essentially as easy as in classic ICA methods. We also show that this. description is genuinely more sparse than a non-overcomplete ICA method.

引用

页码：950 / 957

页数：8

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