Two-Dimensional Fast Orthogonal Neural Network for Image Recognition

被引：0
|
作者：
Stasiak, Bartlomiej [1 ]
机构：
[1] Tech Univ Lodz, Inst Comp Sci, PL-93005 Lodz, Poland
来源：
PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, PROCEEDINGS | 2009年 / 5856卷
关键词：
fast orthogonal neural network; Fourier amplitude spectrum; image recognition;
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：
This paper presents a method of constructing a fast orthogonal neural network suitable for raw image recognition and classification. The neural architecture of the proposed network is based on fast cosine transform algorithm modified to enable Fourier amplitude spectrum computation. The presented network has reduced computational complexity and it reaches low generalization error values as compared to a standard multilayer perceptron.
引用
收藏
页码：653 / 660
页数：8
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