Search - Kernel Discriminant Analysis

Search - Kernel Discriminant Analysis - List

[Other resource] KDA_QR DL : 0: 基于奇异值分解的核线性判别分析（Kernel Discriminant Analysis via QR Decomposition）。 -based on the singular value decomposition of the nuclear linear discriminant analysis (Kernel Discriminant An alysis via QR Decomposition).
Update : 2008-10-13 Size : 1.9kb Publisher : 李民
[Graph program] fs-kfda DL : 0: Feature scaling for kernel Fisher discriminant analysis using leave-one-out cross validation. FS-KFDA is a package for implementing feature scaling for kernel fisher discriminant analysis.-Feature scaling for kernel Fisher discrim inant analysis using leave-one-out cross vali dation. FS-KFDA is a package for implementing f eature scaling for kernel fisher discriminant analysis.
Update : 2025-03-07 Size : 499kb Publisher :
[AI-NN-PR] KDA_QR DL : 0: 基于奇异值分解的核线性判别分析（Kernel Discriminant Analysis via QR Decomposition）。 -based on the singular value decomposition of the nuclear linear discriminant analysis (Kernel Discriminant An alysis via QR Decomposition).
Update : 2025-03-07 Size : 2kb Publisher : 李民
[Special Effects] FaceRecognitionUsingKernelDirectDiscriminantAnalys DL : 0: 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)
Update : 2025-03-07 Size : 727kb Publisher : cy
[Speech/Voice recognition/combine] KLFDA DL : 0: Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction
Update : 2025-03-07 Size : 1kb Publisher : wfs
[JSP/Java] r-kdda DL : 0: Matlab source codes for the kernel direct discriminant analysis (KDDA),Author: Lu Juwei , Bell Canada Multimedia Lab, Dept. of ECE, U. of Toronto ,Released in 03 September 2003
Update : 2025-03-07 Size : 731kb Publisher : qiuzhihao
[matlab] stprtool DL : 0: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines- This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm
Update : 2025-03-07 Size : 4.07mb Publisher : 查日东
[Special Effects] drtoolbox.tar DL : 1: 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available: - Principal Component Analysis ( PCA ) - Linear Discriminant Analysis ( LDA ) - Multidimensional scaling ( MDS ) - Probabilistic PCA ( ProbPCA ) - Factor analysis ( FactorAnalysis ) - Sammon mapping ( Sammon ) - Isomap ( Isomap ) - Landmark Isomap ( LandmarkIsomap ) - Locally Linear Embedding ( LLE ) - Laplacian Eigenmaps ( Laplacian ) - Hessian LLE ( HessianLLE ) - Local Tangent Space Alignment ( LTSA ) - Diffusion maps ( DiffusionMaps ) - Kernel PCA ( KernelPCA ) - Generalized Discriminant Analysis ( KernelLDA )
Update : 2025-03-07 Size : 1.06mb Publisher : yang
[Documents] kfd2 DL : 0: 基于核的fisher判别分析，中文文献，从各个核心期刊中收集，希望对大家有用-Kernel-based fisher discriminant analysis, English literature, from all the core collection of journals, U.S. hope to be useful
Update : 2025-03-07 Size : 884kb Publisher : 宦若虹
[matlab] KLFDA DL : 0: 这是一个关于Fisher线性判别分析的Matlab的m文件，给出了在高斯核下的程序源码。-This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
Update : 2025-03-07 Size : 2kb Publisher : gcl
[AI-NN-PR] KDA DL : 0: KDA: Kernel Discriminant Analysis
Update : 2025-03-07 Size : 2kb Publisher : lai_zhi_hui
[matlab] ar_dct_kda DL : 0: 在AR人脸库上进行DCT变换，使用DCT变换后的图像进行 kernel fisher discriminant analysis,其中kernel 函数可以自己选择-In the AR face database on the DCT transform, using the DCT transformed image kernel fisher discriminant analysis, which can choose the kernel function
Update : 2025-03-07 Size : 2kb Publisher : 邵珠立
[AI-NN-PR] Efficient.Kernel.Discriminant.Analysis DL : 0: article about PCA algorithm
Update : 2025-03-07 Size : 68kb Publisher : ovidiu
[matlab] SVM DL : 0: In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition
Update : 2025-03-07 Size : 2kb Publisher : sofi
[Mathimatics-Numerical algorithms] kda_qr DL : 0: 通过矩阵的QR分解来求解KDA问题（核判别分析）附原参考文献-QR decomposition for kernel discriminant analysis
Update : 2025-03-07 Size : 70kb Publisher : zengming
[Graph program] jiyutezhengronghehemohuhepanbian DL : 0: 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.
Update : 2025-03-07 Size : 367kb Publisher : MJ
[Special Effects] KLFDA DL : 0: 基于局部Fisher准则的非线性核Fisher辨别分析，应用于有监督的特征提取与高维数据的有效降维。-Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
Update : 2025-03-07 Size : 2kb Publisher : gameshadow
[AI-NN-PR] Gabor-kernel-Fisher-analysis-for-face-recognition DL : 0: Paper on non linear discriminant analysis.
Update : 2025-03-07 Size : 130kb Publisher : neo
[matlab] KERNEL-LDA DL : 0: Kernel Discriminant Analysis a kernel extension of Linear Discriminant Analysis technique which is a well-known feature extraction technique.-Kernel Discriminant Analysis is a kernel extension of Linear Discriminant Analysis technique which is a well-known feature extraction technique.
Update : 2025-03-07 Size : 3kb Publisher : rem
[Documents] Kernel-Fisherfaces DL : 0: 人脸识别经典文献,介绍特征脸的核方法，核判别分析（KFDA）-Face classic literature, describes the characteristics of the face method, kernel discriminant analysis (KFDA)
Update : 2025-03-07 Size : 238kb Publisher : chensugen

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