Description: 可以用于人脸识别的核ICA算法，在ICA基础上改造过来的。-can be used for nuclear ICA face recognition algorithm based on the ICA transformation overnight. Platform: |
Size: 14740 |
Author:redapple |
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Description: Face Recognition Using Kernel Direct Discriminant Analysis Algorithms
and Matlab source codes for the kernel direct discriminant analysis (KDDA) -Face Recognition Using Kernel Direct Disc riminant Analysis Algorithms and Matlab sourc e codes for the kernel direct discriminant anal ysis (KDDA) Platform: |
Size: 745176 |
Author:陈远 |
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Description: 可以用于人脸识别的核ICA算法，在ICA基础上改造过来的。-can be used for nuclear ICA face recognition algorithm based on the ICA transformation overnight. Platform: |
Size: 14336 |
Author:redapple |
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Description: Face Recognition Using Kernel Direct Discriminant Analysis Algorithms
and Matlab source codes for the kernel direct discriminant analysis (KDDA) -Face Recognition Using Kernel Direct Disc riminant Analysis Algorithms and Matlab sourc e codes for the kernel direct discriminant anal ysis (KDDA) Platform: |
Size: 744448 |
Author:cy |
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Description: 基于核独立成分分析的人脸识别.pdf
基于核独立成分分析的人脸识别研究.pdf-Based on Kernel Independent Component Analysis of Face Recognition. Pdf Based on Kernel Independent Component Analysis of Face Recognition. Pdf Platform: |
Size: 369664 |
Author:carl2380 |
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Description: 核直接线性判别方法:图像及高维复杂数据模式识别的利器！内有方法开发的相关文档说明！经典！-The matlab functions implement the methods presented in the paper [TNN_KDDA02.pdf]
Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition Using
Kernel Direct Discriminant Analysis Algorithms", IEEE Transactions on Neural
Networks, Vol. 14, No. 1, Page: 117-126, January 2003.
and the chapter [JLu_KP_ANV.pdf] (An extension to the above TNN paper)
Juwei Lu, K.N. Plataniotis and A.N. Venetsanopoulos, 揔ernel Discriminant Learning
with Application to Face Recognition? to appear, in 揝upport Vector Machines:
Theory and Applications? Lipo WANG, Editors, Springer-Verlag, to be published in
2004. Platform: |
Size: 744448 |
Author:ym |
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Description: pca+fisher是将核函数应用到人脸识别研究中去-pca+ fisher is the kernel function is applied to face recognition research go Platform: |
Size: 11264 |
Author:zhangwenming |
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Description: 改进的核函数算法及其在人脸识别中的应用研究，很好的东东！-Kernel function to improve the algorithm and its application in face recognition research Platform: |
Size: 3072 |
Author:joyboble |
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Description: KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method Platform: |
Size: 224256 |
Author:付赛男 |
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Description: 基于核函数的主分量分析法源代码，可用于人脸识别-Kernel-based principal component analysis source code, can be used for face recognition Platform: |
Size: 27648 |
Author:xiechaocheng |
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Description: 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和Ekman“面部表情图片”数据库上的实验，证实
了所提方法的有效性。-Proposed based on feature fusion and fuzzy kernel discriminant analysis (FKDA) facial expression recognition. First, face images of each piece of hand-set
Bit 34 basis points, as the geometric features of facial expression images, while using Gabor wavelet transform method to transform the images of each piece of expression, and extraction-based
Quasi-point of the Gabor wavelet coefficients, as Gabor features of facial expression image second, using canonical correlation analysis on the geometric features and Gabor features into
Line feature fusion, as expression recognition of input features then, using fuzzy kernel discriminant analysis method to extract and further identification features of expression Finally, the most
Neighbor classifier to complete expression of the classification. International expression by JAFFE database and Ekman "facial image" database on the experiment, confirmed
The proposed method. Platform: |
Size: 375808 |
Author:MJ |
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Description: 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and recognition test. Platform: |
Size: 1024 |
Author:李海 |
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Description: 模式识别课程作业，pca和kpca，以及一个人脸可。其中kpca的核函数是多项式。-Pattern Recognition course assignments, pca and kpca, and a person can face. Where the kernel function is polynomial kpca. Platform: |
Size: 3430400 |
Author:perfy yang |
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Description: 本文针对人脸图像的特点，选取一组Gabor 小波核，并用这组Gabor 小波核对人脸图像进行Gabor 小波变换，提取人脸
图像的有效信息。在此基础上，用2DPCA 对Gabor 小波提取的
数据矩阵进行降维，最后用最近邻法对人脸进行分类。-In this paper, the characteristics of face images, select a set of Gabor wavelet kernel, and check with this set of Gabor wavelet Gabor face image wavelet transform to extract useful information of face images. On this basis, with 2DPCA on data extracted Gabor wavelet dimension reduction matrix, and finally with the nearest neighbor method to classify the human face. Platform: |
Size: 55296 |
Author:李 |
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Description: 主要介绍了各种关于人脸识别的核心算法，如LGBP，AdaBoost，SV的Kernel判别及基于特定人脸子空间-Introduces a variety of core face recognition algorithms, such as LGBP, AdaBoost, SV and the Kernel discriminant subspace based on a specific face Platform: |
Size: 141312 |
Author:candies |
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Search - face recognition kernel