Reduction of Multidimensional Image Characteristics Based on Improved KICA

The domestic and overseas studies of redundant multifeatures and noise in dimension reduction are insufficient, and the efficiency and accuracy are low. Dimensionality reduction and optimization of characteristic parameter model based on improved kernel independent component analysis are proposed i...

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Main Authors: Jia Dongyao, Ai Yanke, Zou Shengxiong
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/256206
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author Jia Dongyao
Ai Yanke
Zou Shengxiong
author_facet Jia Dongyao
Ai Yanke
Zou Shengxiong
author_sort Jia Dongyao
collection DOAJ
description The domestic and overseas studies of redundant multifeatures and noise in dimension reduction are insufficient, and the efficiency and accuracy are low. Dimensionality reduction and optimization of characteristic parameter model based on improved kernel independent component analysis are proposed in this paper; the independent primitives are obtained by KICA (kernel independent component analysis) algorithm to construct an independent group subspace, while using 2DPCA (2D principal component analysis) algorithm to complete the second order related to data and further reduce the dimension in the above method. Meanwhile, the optimization effect evaluation method based on Amari error and average correlation degree is presented in this paper. Comparative simulation experiments show that the Amari error is less than 6%, the average correlation degree is stable at 97% or more, and the parameter optimization method can effectively reduce the dimension of multidimensional characteristic parameters.
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institution Kabale University
issn 1110-757X
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-4f19fc30c12241769380ebbc9c785c4e2025-02-03T01:32:47ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/256206256206Reduction of Multidimensional Image Characteristics Based on Improved KICAJia Dongyao0Ai Yanke1Zou Shengxiong2Advanced Control Systems Laboratory, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaAdvanced Control Systems Laboratory, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaAdvanced Control Systems Laboratory, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaThe domestic and overseas studies of redundant multifeatures and noise in dimension reduction are insufficient, and the efficiency and accuracy are low. Dimensionality reduction and optimization of characteristic parameter model based on improved kernel independent component analysis are proposed in this paper; the independent primitives are obtained by KICA (kernel independent component analysis) algorithm to construct an independent group subspace, while using 2DPCA (2D principal component analysis) algorithm to complete the second order related to data and further reduce the dimension in the above method. Meanwhile, the optimization effect evaluation method based on Amari error and average correlation degree is presented in this paper. Comparative simulation experiments show that the Amari error is less than 6%, the average correlation degree is stable at 97% or more, and the parameter optimization method can effectively reduce the dimension of multidimensional characteristic parameters.http://dx.doi.org/10.1155/2014/256206
spellingShingle Jia Dongyao
Ai Yanke
Zou Shengxiong
Reduction of Multidimensional Image Characteristics Based on Improved KICA
Journal of Applied Mathematics
title Reduction of Multidimensional Image Characteristics Based on Improved KICA
title_full Reduction of Multidimensional Image Characteristics Based on Improved KICA
title_fullStr Reduction of Multidimensional Image Characteristics Based on Improved KICA
title_full_unstemmed Reduction of Multidimensional Image Characteristics Based on Improved KICA
title_short Reduction of Multidimensional Image Characteristics Based on Improved KICA
title_sort reduction of multidimensional image characteristics based on improved kica
url http://dx.doi.org/10.1155/2014/256206
work_keys_str_mv AT jiadongyao reductionofmultidimensionalimagecharacteristicsbasedonimprovedkica
AT aiyanke reductionofmultidimensionalimagecharacteristicsbasedonimprovedkica
AT zoushengxiong reductionofmultidimensionalimagecharacteristicsbasedonimprovedkica