A fixed-point algorithm of topographic ICA

被引:0
|
作者
Matsuda, Yoshitatsu
Yamaguchi, Kazunori
机构
[1] Aoyama Gakuin Univ, Dept Integrated Informat Technol, Kanagawa 2298558, Japan
[2] Univ Tokyo, Dept Gen Syst Studies, Meguro Ku, Tokyo 1538902, Japan
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
Topographic ICA is a well-known ICA-based technique, which generates a topographic mapping consisting of edge detectors from natural scenes. Topographic ICA uses a complicated criterion derived from a two-layer generative model and minimizes it by a gradient descent algorithm. In this paper, we propose a new simple criterion for topographic ICA and construct a fixed-point algorithm minimizing it. Our algorithm can be regarded as an expansion of the well-known fast ICA algorithm to topographic ICA, and it does not need any tuning of the stepsize. Numerical experiments show that our fixed-point algorithm can generate topographic mappings similar to those in topographic ICA.
引用
收藏
页码:587 / 594
页数:8
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