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 Platform: |
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Author:shj |
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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 Platform: |
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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. Platform: |
Size: 300032 |
Author:smallmule |
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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. Platform: |
Size: 300032 |
Author:viv |
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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. Platform: |
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Author:陈平 |
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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 Platform: |
Size: 263168 |
Author:Tatyana |
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Description: pdf for fingerprint from ieee include:
PIPELINED MINUTIAE EXTRACTION FROM FINGERPRINT IMAGES
A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition
in Online Examination System
Processing of Distorted Fingerprints with use of Three-Rate
Hybrid Kohonen Neural Networks
nad etc Platform: |
Size: 21190656 |
Author:ali |
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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. Platform: |
Size: 91136 |
Author:Adil |
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Description: Getting More from PCA:
First Results of Using Principal Component
Analysis for Extensive Power Analysis Platform: |
Size: 994304 |
Author:khanzadeh
|
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