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) Platform: |
Size: 187392 |
Author: |
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Description: 关于2dpca是否比传统的pca强,这一两年来,争论比较大,这篇国内的论文对这个问题提出了自己的看法。觉得不错,推荐!-2dpca than on the traditional pca strong in the last couple of years, more controversial, This domestic paper on the issue put forward their views. Think it's good, recommended! Platform: |
Size: 661504 |
Author:刘恒 |
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Description: 本文介绍的是小波变换在人脸识别当中应用,是篇硕士论文,介绍了多种小波人脸识别算法,有基于离散小波的人脸检测与特征定位算法,基于小波变换的PCA人脸识别算法,基于小波变换和人工神经网络的人脸识别算法,基于小波变换和支持向量机的人脸识别算法,内容全面,具有很高的参考学习价值。-In this paper, is among the wavelet transform in face recognition applications, is the chapter master Platform: |
Size: 759808 |
Author:阳关 |
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Description: 该文介绍了二维主元分析在人脸识别中的应用研究。-This paper introduces the two-dimensional PCA in face recognition in applied research. Platform: |
Size: 559104 |
Author:Jacky |
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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: |
Size: 277504 |
Author:陈平 |
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Description: 杨健教授的经典论文:二维PCA。还要凑足20个字,唉-Professor Yang Jian' s classic paper: Two-dimensional PCA. Would also like to gather the 20 words, alas Platform: |
Size: 1133568 |
Author: |
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Description: Surf,特征点检测算法,比sift还好的算法
论文和代码-Surf, feature point detection algorithm, the algorithm better than the paper sift and code Platform: |
Size: 2443264 |
Author:may |
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Description: This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.-This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This is based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method. Platform: |
Size: 432128 |
Author:Swati |
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Description: 本文设计基于DCT的人脸识别系统,首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用;然后研究了人脸识别进行预处理,讨论了人脸识别预处理的其他方法,分析各种方法的利弊,最后采用DCT(离散余弦变换)实现人脸图像预处理中的降维处理;接下来对人脸图像的特征提取进行了研究,简单叙述了几何特征提取和代数特征提取,同时深入研究了基于DCT和PCA变换的人脸图像特征提取,从而实现是否对人脸识别系统识别率有所提高的研究;对于分类器的选择,本文对两种分类器进行了探讨,即最近邻分类器和BP神经网络分类器,同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器,并对BP神经网络进行分类的算法进行设计,BP神经网络具有学习功能,只要采用本系统对训练图片进行训练,就可以记下图像的相关信息,对于测试图片,就可以很准确的识别出该图片是属于哪个的。最后,本文对整个人脸识别系统设计实验进行了实验分析,实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura Platform: |
Size: 422912 |
Author:刘文珍 |
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Description: This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper, "Automated Analysis of Cellular Signals from Large-Scale Calcium Imaging Data," Neuron, 63:747 (2009): http://tinyurl.com/cellsort Platform: |
Size: 345088 |
Author:lin |
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Description: This function calculates the RND from a cross-section of put prices using the PCA method as
described in O. Bondarenko. ``Recovering Risk-Neutral Densities: A New Nonparametric Approach,
UIC working paper, September 2000.
-This function calculates the RND from a cross-section of put prices using the PCA method as
described in O. Bondarenko. ``Recovering Risk-Neutral Densities: A New Nonparametric Approach,
UIC working paper, September 2000. Platform: |
Size: 2048 |
Author:Sebastian |
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Description: PCA是一种非线性降维方法特别适合于概率分布,得到了指数族PCA的POMDPs压缩。(Matlab implementation of E-PCA which is a non-linear dimensionality reduction method particularly suited for probability distributions, see the paper Exponential Family PCA for Belief Compression in POMDPs.) Platform: |
Size: 7041024 |
Author:SONAH~
|
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Description: 该系统为基于MATLAB平台的PCA的人脸识别系统,可识别ORL和YALE人脸库,方法实现统一,包括GUI界面。另外可二次开发成摄像头的实时人脸系统,识别出库外人脸,可做成门禁系统,考勤系统,打卡签到系统。实现登记出勤,报警等。
含论文,详细注释。(The system is a PCA face recognition system based on MATLAB platform. It can recognize ORL and yale face database. The method is unified, including GUI interface. In addition, it can be developed into a real-time face system of camera, which can recognize the face outside the warehouse, and can be made into access control system, attendance system, punch in system. Register attendance, alarm, etc.
Including paper and detailed notes.) Platform: |
Size: 1260544 |
Author:for Matlab |
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