FKP recognition using ICA-based inverse FDA

Zhongxi Sun
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引用次数: 2

Abstract

ICA concerns high-order dependencies between variables. In this paper, a new feature extraction method is proposed by combining Inverse FDA with ICA. ICA is applied to sample images to provide the high-order statistical information and reduce dimension. Inverse FDA is used for discrimination. Experimental results on FKP database show that our proposed method is efficient.
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基于ica的逆FDA FKP识别
ICA关注变量之间的高阶依赖关系。本文提出了一种将逆FDA与ICA相结合的特征提取方法。将ICA应用于样本图像,提供高阶统计信息和降维。逆FDA用于鉴别。在FKP数据库上的实验结果表明,该方法是有效的。
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