Description: FAST ICA 算法用于ICA实验,可用于人脸识别等领域-FAST ICA algorithm for ICA experiments, can be used in areas such as face recognition Platform: |
Size: 43008 |
Author:bai |
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Description: 基于改进的独立分量分析的人脸识别方法,,本文将遗传算法(GeneticAlgorithm,GA)应用到独立分量的选择与优化中,从而在
保证较高识别性能的前提下,获得最优的人脸特征子集-Based on an improved independent component analysis for face recognition method, this article will genetic algorithm (GeneticAlgorithm, GA) is applied to independent component selection and optimization, resulting in a higher recognition performance guarantee under the premise was the best facial feature subset Platform: |
Size: 133120 |
Author:李宛霖 |
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Description: A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition. Platform: |
Size: 3522560 |
Author:dasf |
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Description: 特征提取是模式识别研究领域的一个热点.本文提出了一种基于独立成分分析和线性鉴别分析的特征提取方法.谊方法中引入了零空间的概念,指出了前人算法中的不足之,并且给出了一个完整的独立成分分析和线性鉴别分析的组合算法.在ORL和Yale人脸数据库上的实验表明了该方法的有效性.-Feature extraction is a hot field of pattern recognition research. In this paper, which is based on independent component analysis and linear discriminant analysis feature extraction method. Yi method introduced the concept of zero-space, pointing out that the algorithm predecessors shortcomings, and gives a complete independent component analysis and linear discriminant analysis of the combined algorithm. In the ORL and Yale face database, the experiment shows the effectiveness of this method. Platform: |
Size: 256000 |
Author:费富里 |
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Description: PCA ICA and LDA for Face-Recognition
this document helps you understand the main idea in
PCA ICA and LDA algorithms and their differences Platform: |
Size: 299008 |
Author:hamed danandeh |
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Description: code for face recognition using ica (independent component analysis) .a good code sor reaserch.
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Size: 3072 |
Author:ali |
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Description: 基于matlab的PCA人脸识别完成程序,包含特征值与特征向量的提取、训练样本以复制到matlab即可,成功运行,及最后的识别检验-A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition Platform: |
Size: 1024 |
Author:zhaolei |
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