搜索资源列表
DSP_TEST_PRO
- --- --- --- --- --- --- --- - | Directory & Files | --- --- --- --- --- --- --- - \\ ---- CD for EduKit-II 2410 development board \\01-Cygwin install ---- the cygwin setup file(s) \\02-User s Manual ---- user manual for EduKit-I
kpca.rar
- kpca 用于人脸识别等的matlab源码,KPCA for face recognition matlab source, etc.
Face_Recognition.zip
- Face Recognition, Face Detection, Lausanne Protocol, 3D Face Reconstruction, Principal Component Analysis, Fisher Linear Discriminant Analysis, Locality Preserving Projections, Kernel Fisher Discriminant Analysis,Face Recognition, Face Detection, L
algorithm-of-face-recognition
- 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
kpca
- 使用核PcA来识别图片，图片为200张测试图片，200张训练图片，包含在在压缩文件中。-To identify the use of nuclear PcA picture, pictures, for 200 test images, 200 training images, is included in the compressed file.
pcajiafisher
- 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
nkde
- 视频跟踪检测 背景核密度估计建模，欢迎指正，-Detection of the background video track modeling kernel density estimation, please correct me, thank you
kernel-ica1_1
- 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
generalized
- Generalized Kernel-based Visual Tracking的源代码，对研究目标跟踪的学者很有用-The source code of Generalized Kernel-based Visual Tracking
ClassificationUsingIntersectionKernelSupportVector
- 基于Intersection Kernel SVM的分类的一篇很好的文章，适合需要对分类问题研究的人参考-Classification using Intersection Kernel Support Vector Machines is Efficient
KDE_subtraction
- 采用非参数背景建模，MFC，对运动目标进行检测，有很高的参考价值-Using non-parametric background modeling, MFC, the moving target detection, a high reference value
3DFaceRecognitionBasedon3DLBPandKernelDiscriminant
- 二维照片的人脸识别对光照、姿态和化妆等因素很敏感，故提出了一种将三维局部二值模式(3DLBP)和核享，1剐分析(KDA)相结合的三维人脸识剐方法．采用3DLBP描述人脸深度图像的特征，高斯核函数KDA 作为分类器，使用Chi平方统计改进高斯核函数、采用FRGC v2．0中2003春季采集的三维人脸库进行实验．实验结果表明，该 方法在每人2个训练样本时，识别率为91．8％，而PCA和3DLBP的识别率分别为60．4％和78．3％；当每人的训练样本数增至6个时，识别率为98．4％，而PCA和3D
Kernel_Methods_for_Pattern_Analysis.pdf
- 模式识别：核方法，英文版。模式识别类经典外文书籍。PR,ML类必看大作。PDF矢量版。-Kernel Methods for Pattern Analysis
face-recog-using-kernel-pca
- face recognition using PCA
1
- 基于核函数的聚类分析相关文献，十篇研究博硕士论文。-Kernel-based clustering analysis of relevant literature, ten of Repository.
2
- 基于核函数的聚类分析相关文献，多篇研究博硕士论文。-Kernel-based clustering analysis of relevant literature, many articles of Repository.
KerPCA
- 高手写的Kernel PCA,对做模式识别的人非常有帮助。-It is helpful for people in pattern recognition.KPCA
fast-kernel-learning
- Spatial Pyramid Matching中的快速kernel学习（经典)-Fast Kernel Learning for Spatial Pyramid Matching.
A-New-Kernel-Function
- 为支持向量机设计了一种新的直方图核函数运用在图像分类上取得不错的效果。-The paper designed a new histogram kernel function for support vector machines which achieved good results in image classification .
theory-of-reproducing-kernel
- 再生核理论简介，对于那些困惑于再生核理论的人会有很多帮助。-Introduction to the theory of reproducing kernel, for those who are confused reproducing kernel theory will help a lot.