Search - Nonlinear Dimensionality Reduction

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[Other resource] S-Isomap DL : 3: Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
Date : 2008-10-13 Size : 30.87kb User : 修宇
[Special Effects] LLE DL : 0: LLE 一种非线性维数约减算法，非常好用-LLE a nonlinear dimensionality reduction algorithm, a very handy
Date : 2008-10-13 Size : 2.73kb User : redapple
[matlab] S-Isomap DL : 0: Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.-Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics- Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
Date : 2025-07-06 Size : 31kb User : 修宇
[Special Effects] LLE DL : 0: LLE 一种非线性维数约减算法，非常好用-LLE a nonlinear dimensionality reduction algorithm, a very handy
Date : 2025-07-06 Size : 2kb User : redapple
[Graph Recognize] LLE DL : 0: 此程序为非线性降维典型算法之一－－LLE算法，对想进行高维数据降维研究的朋友们值得一看-This procedure for nonlinear dimensionality reduction algorithm, one of the typical- LLE algorithm, to want to high-dimensional data dimensionality reduction study to see friends
Date : 2025-07-06 Size : 9kb User : ttt
[Embeded-SCM Develop] lle_roweis DL : 0: 这是LLE的原始算法，原文的参考文献是：S.T.Roweis and L.K.Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2000.-This is the original LLE algorithm, the original reference is: STRoweis and LKSaul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2000.
Date : 2025-07-06 Size : 1kb User : treat
[AI-NN-PR] LLEmultimanifoldlearning DL : 0: 基于局部线性嵌入_LLE_非线性降维的多流形学习,是当前人脸识别的新方向-Face Recognition Based on Locally Linear Embedding for Nonlinear Dimensionality Reduction _LLE_ multi-manifold learning
Date : 2025-07-06 Size : 965kb User : 孙浩量
[AI-NN-PR] lda DL : 0: 非线性降维方法可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
Date : 2025-07-06 Size : 1kb User : 王博
[AI-NN-PR] pca DL : 0: 非线性降维方法可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
Date : 2025-07-06 Size : 1kb User : 王博
[AI-NN-PR] llc DL : 0: 非线性降维方法llc 可以应用于高维数据的机器学习-Llc nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
Date : 2025-07-06 Size : 2kb User : 王博
[AI-NN-PR] lle DL : 0: 非线性降维方法lle 可以应用于高维数据的机器学习-Lle nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
Date : 2025-07-06 Size : 2kb User : 王博
[AI-NN-PR] kpca081223 DL : 0: 非线性降维方法KPCA 可以应用于高维数据的机器学习-KPCA nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
Date : 2025-07-06 Size : 1kb User : 王博
[Algorithm] LLE DL : 0: 关于高维数据降维的非线性方法ＬＬＥ代码，对学习数据降维有帮助-High dimensional data on the nonlinear dimensionality reduction methods LLE code, data dimensionality reduction in learning help
Date : 2025-07-06 Size : 3kb User : hyj_math
[Algorithm] lle DL : 0: 一种流形学习算法，用于非线性降维，文章发表在2000年science杂志上，是一种非常经典的算法。-A manifold learning algorithm for nonlinear dimensionality reduction, articles published in science journal in 2000, is a very classic algorithms.
Date : 2025-07-06 Size : 2kb User : 仲国强
[Speech/Voice recognition/combine] toolbox_dimreduc DL : 0: This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction. * PCA : classical Principal Componnent Analysis (linear projection). * Nonlinear dimensionality reduction by locally linear embedding. * Laplacian Eigenmaps for dimensionality reduction and data representation-This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction. * PCA : classical Principal Componnent Analysis (linear projection). * Nonlinear dimensionality reduction by locally linear embedding. * Laplacian Eigenmaps for dimensionality reduction and data representation
Date : 2025-07-06 Size : 221kb User : tra ba huy
[Documents] Nonlinear_Dimensionalit_Reduction_for_Face_Recogni DL : 0: Nonlinear Dimensionality Reduction for Face Recognition.pdf
Date : 2025-07-06 Size : 383kb User : seven
[Other] NonlinearDimensionalityReductionbyLocallLinearEmbe DL : 0: 一篇2000年流行的降维文章。学习降维必看。-Nonlinear Dimensionality Reduction by Locally Linear Embedding
Date : 2025-07-06 Size : 653kb User : shi
[matlab] laplacian_eigen DL : 0: Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.
Date : 2025-07-06 Size : 2kb User : Karthikeyan
[Mathimatics-Numerical algorithms] reduction DL : 0: 一类非线性EV模型的降维估计Nonlinear dimensionality reduction model is estimated EV-Nonlinear dimensionality reduction model is estimated EV
Date : 2025-07-06 Size : 326kb User : ku
[Documents] Nonlinear-Dimensionality-Reduction DL : 0: 介绍一种非线性降维方法的文章，是篇算法介绍-A Global Geometric Framework for Nonlinear Dimensionality Reduction
Date : 2025-07-06 Size : 596kb User : pei

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