Search - kernel lda

Search - kernel lda - List

[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 : 2025-04-07 Size : 731kb Publisher : qiuzhihao
[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 : 2025-04-07 Size : 1.06mb Publisher : yang
[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 : 2025-04-07 Size : 2kb Publisher : sofi
[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 : 2025-04-07 Size : 3kb Publisher : rem
[Industry research] drtoolbox DL : 0: Dear all find here important tool box for dimension reduction. TOOL box contaion PCA, ICA, LBP, Kernel LDA, Kernel PCA etc Enjoy- Dear all find here important tool box for dimension reduction. TOOL box contaion PCA, ICA, LBP, Kernel LDA, Kernel PCA etc Enjoy!!!!!!!!!!!!!!!!
Update : 2025-04-07 Size : 1mb Publisher : xiaomingw
[AI-NN-PR] drtoolbox DL : 0: Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Linear Discriminant Analysis (LDA) Multidimensional scaling (MDS) Isomap Landmark Isomap Local Linear Embedding (LLE) Laplacian Eigenmaps Hessian LLE Local Tangent Space Alignment (LTSA) Conformal Eigenmaps (extension of LLE) Maximum Variance Unfolding (extension of LLE) Landmark MVU (LandmarkMVU) Fast Maximum Variance Unfolding (FastMVU) Kernel PCA Generalized Discriminant Analysis (GDA) Diffusion maps Stochastic Neighbor Embedding (SNE) Symmetric SNE (SymSNE) new: t-Distributed Stochastic Neighbor Embedding (t-SNE) Neighborhood Preserving Embedding (NPE) Locality Preserving Projection (LPP) Linear Local Tangent Space Alignment (LLTSA) Stochastic Proximity Embedding (SPE) Mu
Update : 2025-04-07 Size : 1.94mb Publisher : jdzsj
[matlab] KLFDA DL : 0: matlab论坛里找到的使用自己的数据进行实验，可用。KFDA里就是使用例程。里面是有5类数据。通过高斯核进行LDA分类。-by using the FDA with Gaussian kernel，to classify five different patterns。
Update : 2025-04-07 Size : 681kb Publisher : 齐伟利
[DataMining] K-lda DL : 0: KFDA是FDA进行首先投影到核空间，然后进行判别分析，核技巧提高了算法的可行性。-KFDA said the FDA is first projection in kernel space, and then the discriminant analysis, nuclear techniques to improve the feasibility of the algorithm.
Update : 2025-04-07 Size : 4kb Publisher : 赵礼
[matlab] lda_kernelized DL : 0: This file was written by Bilwaj K. Gaonkar This is intended to provide an LDA implementation for high dimension low sample size data
Update : 2025-04-07 Size : 2kb Publisher : bilel
[matlab] K-lda DL : 0: 经典kernel LDA算法，可用于人脸识别算法，很好用(Classic kernel LDA algorithm, can be used for face recognition algorithm, very good use)
Update : 2025-04-07 Size : 2kb Publisher : 吹吹吹吹风