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MPCACodes
- Multilinear Principal Component Analysis
MPCACodes.rar
- 编程主要用于脸部特征提取，而且是三维图像。,Multilinear principal component analysis algorithm for face feature extraction.
MPCACodes 多线性主成分分析的MATLAB源代码
- 多线性主成分分析的MATLAB源代码 最初用于人脸识别和步态识别 后被扩展到其他应用领域-The codes implement two algorithms: Multilinear Principal Component Analysis (MPCA) and MPCA+LDA.
MPCA
- 高维PCA 参考文献： MPCA Multilinear Principal Component Analysis of Tensor Objects-High-dimensional PCA References: MPCA Multilinear Principal Component Analysis of Tensor Objects
signalProcessingBasedOnMultilinearAlgebra
- signal processing based on multilinear algebra，国外的学者的博士论文，主题关于信号处理最前沿的课题之一：平行因子分解（PARAFAC）。主要讨论了多重线性代数，包括高阶统计量分析，高阶奇异值分解，最优秩1分解，ICA与PARAFAC之间的关系等等。-signal processing based on multilinear algebra, foreign doctoral dissertations and scholars, the subje
MPCASourceCode
- The matlab codes provided here implement two algorithms multilinear principal component analysis to run the face recognition using FERET database.
MPCALDA
- 编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
Multilinear_Principal_Component_Analysis
- Multilinear Principal Component Analysis
MPCACodes
- 如何使用Multilinear Principal Component Analysis-learn how to Multilinear Principal Component Analysis
MPCA-Multilinear-Principal-Component-Analysis-of-
- MPCA Multilinear Principal Component Analysis of Tensor Objects with MATLAB
MPCA
- 多主成分分析和LDA模型结合算法，用于文本识别。-MPCA: Multilinear Principal Component Analysis of Tensor Objects
MPCACodes1.2
- The codes implement two algorithms Multilinear Principal Component Analysis (MPCA) and MPCA+LDA
454
- 多线性交换子-算法Multilinear commutator - Algorithm-Multilinear commutator- Algorithm
dilia
- Special attention is given to the development of algorithms for image formation from raw data. Kronecker algebra has been used, as a tool aid for reducing the computational effort in the MATLAB?implementation process of unitary operators, suc
MPCA
- 高维PCA参考文献：MPCA Multilinear Principal Component Analysis of Tensor Objects-High-dimensional PCA References: MPCA Multilinear Principal Component Analysis of Tensor Objects
mulinear
- ansys多线性各向同性，多线性随动硬化-ANSYS linear, isotropic, multilinear kinematic hardening
NFEA
- 张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications- Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (elec