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Description: 2004 A PCA-based Similarity Measure for Multivariate Time Series.pdf
流行学习
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Size: 169840 |
Author: 未来 |
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Description: 做毕业设计的时候收集的一些关于PCA人脸识别算法的pdf文件。。。适合初学者
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Size: 12094564 |
Author: lining |
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Description: 本文是2011年eslvier上的关于自适应局部背景特征建模的一篇论文。本文介绍了关于局部PCA学习背景变化的光照，能对背景的全局或局部的变化作出最快速的响应
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Size: 5512447 |
Author: tinquan |
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Description: Fast ICA，一种ICA的快速算法，有完整的论文（两种格式，pdf和ps的）-Fast ICA, the ICA a fast algorithm, a complete paper (both formats, pdf and ps)
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Size: 187392 |
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Description: 基于主分量分析的人脸识别英文原版文章，值得借鉴。-original english edition of article about face recogniton based on main component analysis.it is worth reference.
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Size: 12413952 |
Author: xg |
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Description: 基于主元分析和神经网络的人脸识别方法.pdf-based on principal component analysis and neural networks face recognition. Pdf
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Size: 151552 |
Author: shj |
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Description: 从物理意义的角度很好的解释了主成分分析法，是一篇很好的主成分分析入门文献。-Physical meaning from the perspective of a very good explanation of the principal component analysis method, is a good entry-principal component analysis literature.
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Size: 300032 |
Author: smallmule |
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Description: PCA = Principal Component Analysis PDF document. Learn it
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Size: 91136 |
Author: selamicik |
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Description: 主分量分析法的介绍-Principal component analysis method introduced
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Size: 91136 |
Author: lijin |
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Description: A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of modern data analysis - a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box.-A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box.
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Size: 300032 |
Author: viv |
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Description: 2004 A PCA-based Similarity Measure for Multivariate Time Series.pdf
流行学习-2004 A PCA-based Similarity Measure for Multivariate Time Series.pdf popular learning
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Size: 169984 |
Author: |
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Description: 做毕业设计的时候收集的一些关于PCA人脸识别算法的pdf文件。。。适合初学者-Does graduating from design time to collect some of PCA Face Recognition Algorithm on the pdf file. . . Suitable for beginners
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Size: 12094464 |
Author: lining |
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Description: 主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而
可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别
层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in an effective method to data from high dimensional data space transformation to the low-dimensional feature space, which can be used for data feature extraction and compression and so on. In this paper, the shape recognition system using PCA extraction of the shape of image features, can be used to satisfy the identification requirements of the input layer. In the recognition layer studied three kinds of identification methods: nearest neighbor rule, BP network and the synergetic neural network methods, have achieved a satisfactory experiment results.
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Size: 277504 |
Author: 陈平 |
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Description:
it is a good paper about of pca in pattern recognition problems.
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Size: 395264 |
Author: hamid |
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Description: Probabilistic Principal Component Analysis
– Latent variable models
– Probabilistic PCA
• Formulation of PCA model
• Maximum likelihood estimation
– Closed form solution
– EM algorithm
» EM Algorithms for regular PCA
» Sensible PCA (E-M algorithm for probabilistic PCA)
– Mixtures of Probabilistic Principal Component
Analysers-Probabilistic Principal Component Analysis
– Latent variable models
– Probabilistic PCA
• Formulation of PCA model
• Maximum likelihood estimation
– Closed form solution
– EM algorithm
» EM Algorithms for regular PCA
» Sensible PCA (E-M algorithm for probabilistic PCA)
– Mixtures of Probabilistic Principal Component
Analysers
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Size: 263168 |
Author: Tatyana |
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Description: 关于PCA算法的几份资料，很有参考价值的，其中一份是lecture,另外三份都是PCA方面的专著！-PCA algorithm on several data of great reference value, one of which is the lecture, another PCA in all three monographs!
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Size: 818176 |
Author: 王强 |
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Description: Principal Component Analysis. Very important for pattern recognition(ie. optical character recognition) A great fundamental file for the beginner. Even those who doesn t know what is variance can start learning about OCR basics from this pdf.-Principal Component Analysis. Very important for pattern recognition(ie. optical character recognition) A great fundamental file for the beginner. Even those who doesn t know what is variance can start learning about OCR basics from this pdf.
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Size: 91136 |
Author: Adil |
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Description: Getting More from PCA:
First Results of Using Principal Component
Analysis for Extensive Power Analysis
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Size: 994304 |
Author: khanzadeh
|
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Description: PCA降维
无监督特征提取
参考文献：Paper used - http://cs229.stanford.edu/notes/cs229-notes10.pdf(PCA
# PCA - Unsupervised feature extraction technique
Paper used - http://cs229.stanford.edu/notes/cs229-notes10.pdf)
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Size: 2048 |
Author: a449337053 |
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Description: 图像变换检测 主成分分析法 含PDF介绍(iamge change detection using PCA)
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Size: 661504 |
Author: 王 |
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