Search - matlab laplacian face

Search - matlab laplacian face - List

[AI-NN-PR] lpp DL : 0: 一种很重要的非监督降维方法，是流形学习算法Laplacian Eigenmap 的线性化方法，在人脸识别中效果非常好。-A very important method of unsupervised dimensionality reduction, manifold learning algorithm is Laplacian Eigenmap linearization method is very effective in face recognition.
Update : 2025-04-26 Size : 1kb Publisher : 仲国强
[matlab] Face_Recognition_Using_Laplacianfaces DL : 0: face recognition system in matlab-face recognition system in matlab...
Update : 2025-04-26 Size : 4.28mb Publisher : vicky
[Mathimatics-Numerical algorithms] NPE DL : 0: 本代码实现基于成对约束的半监督图嵌入算法-Following the intuition that the image variation of faces can be effectively modeled by low dimensional linear spaces, we propose a novel linear subspace learning method for face analysis in the framework of graph embedding model, called Semi-supervised Graph Embedding (SGE). This algorithm builds an adjacency graph which can best respect the geometry structure inferred from the must-link pairwise constraints, which specify a pair of instances belong to the same class. The projections are obtained by preserving such a graph structure. Using the notion of graph Laplacian, SGE has a closed solution of an eigen-problem of some specific Laplacian matrix and therefore it is quite efficient. Experimental results on Yale standard face database demonstrate the effectiveness of our proposed algorithm.
Update : 2025-04-26 Size : 2kb Publisher : 刘国胜
[matlab] Laplacian-Eigen-map DL : 0: Laplacian Eigenmap.This contains matlab programs to calculate Laplacian Eigenmap.this is applied for face images.
Update : 2025-04-26 Size : 761kb Publisher : pulak
[Graph Recognize] laplacianfaces DL : 0: laplacian 人脸识别，对研究人脸识别、特征提取，LPP 很有用。-It is a useful paper about laplacian face recognition, which is also useful for feature extraction and lpp.
Update : 2025-04-26 Size : 2.12mb Publisher : xiaoxiao
[Graph Recognize] RSC DL : 0: 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classiﬁ cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the training samples, and the representation ﬁ delity is measured by the � 2-norm or � 1-norm of coding residual. Such a sparse coding model actually assumes that the coding residual follows Gaus- sian or Laplacian distribution, which may not be accurate enough to describe the coding errors in practice. In this paper, we propose a new scheme, namely the robust sparse coding (RSC), by modeling the sparse coding as a sparsity- constrained robust regression problem. The RSC seeks for the MLE (maximum likelihood estimation) solution of the sparse coding problem, and it is much more robust to out- liers (e.g., occlusions, corruptions, etc.) than SRC. An efﬁ cient iteratively reweighted sparse coding algorithm is proposed to solve the RSC model. Extensive
Update : 2025-04-26 Size : 1.16mb Publisher : 刘大明
[Special Effects] dimen_toolbox DL : 1: 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, data mining, and other areas of image processing, which contains the algorithm PCA, LDA, KPCA, KLDA, Laplacian, LPP, MDS, NPE, SPE, LLC, CFA, MCML, LMNN etc.
Update : 2025-04-26 Size : 1018kb Publisher : FDX
[matlab] 57621 DL : 0: Laplacian smoothing transform (lst) for face recognition in matlab
Update : 2025-04-26 Size : 3.65mb Publisher : Nono Heryana