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- 2DPCA算法2DPCA algorithm
- 两级2DPCATwo-stage 2DPCA
- 2DPCA方法2DPCA
- 分块2DPCAmodular 2DPCA
- 算法设计algorithm design
- 模块2DPCAmodular two-dimensional principal component analysis
- 模块化2DPCAmodular 2DPCA
- 算法设计与分析The Design and Analysis of Algorithm
- 模块C-2DPCAmodular complete two dimensional principal component analysis
- 控制算法control algorithm
- 二维主成分分析(2DPCA)Two Dimensional Principal Component Analysis (2DPCA)
- 聚类算法clustering algorithm
- 二维主分量分析(2DPCA)2DPCA
- 启发式算法heuristic algorithm
- 迭代算法iterative algorithm
- 最优控制算法algorithm for optimal control
- 渐缩算法knapsack algorithm
- 在ORL,Yale和AR等人脸数据集上的实验表明,该类方法的识别率高于相应的基于欧氏距离的PCA,2DPCA,M atPCA和(2D)2PCA等方法。Experimental results on ORL,Yale and AR face datasets show that pseudo-PCA,-2DPCA,-MatPCA and-(2D)~2PCA based on the correlation metric outperform PCA,2DPCA,MatPCA and(2D)~2PCA based on the Euclidian distance.
- 调度算法scheduling algorithm
- K-P算法K-P calculation