1.
Ear recognition based on improved 2D principal component analysis and neural network
基于改进二维主成分分析及神经网络的人耳识别方法
2.
Palmprint recognition based on two-directional two-dimensional principal component analysis
基于双向二维主成分分析的掌纹识别
3.
Essential of two-dimensional canonical correlation analysis and improved algorithm
二维典型相关分析的实质与改进算法
4.
TDPCA-based dimensionality reduction of hyperspectral remote sensing images
基于二维主成分分析的高光谱遥感图像降维
5.
Improvement of Data Processing Method in Principal Component Analysis;
主成分分析法中数据处理方法的改进
6.
The Analysis、Research and Modification of Three-Dimensional Terrain Algorithm
三维地形生成算法分析、研究与改进
7.
The Research of Face Recognition Based on Two Dimensionality Principal Component Analysis
基于二维主成分分析的人脸识别算法的研究
8.
Non-Negative Two-Dimensional Principal Component Analysis and Its Application to Face Recognition
非负二维主成分分析及在人脸识别中的应用
9.
Face recognition based on sub-pattern two-directional 2DPCA
基于子模式双向二维主成分分析的人脸识别
10.
Study on Timber Recognition Based on Two-oriental and Two-dimensional Principal Component Analysis
基于两方向二维主成分分析木材识别的研究
11.
METHODS FOR EXTRACTING CHARACTERS OF CLUSTER-FOOTPRINTS BASED ON 2DPCA
基于二维主分量分析的成趟足迹特征提取方法
12.
Analysis on Electromagnetic Scattering from Stratified Sea Surface Based on an Improved 2D Fractal Model
基于改进二维分形海面模型的分层海面电磁散射分析
13.
KPCA extracting principal component with nonlinear method is an improved conventional PCA.
核主成分分析方法是主成分分析的改进算法，其采用非线性方法提取主成分。
14.
Face Recognition Based on Improved WPCA;
改进的加权主成分分析算法实现人脸识别
15.
Research into the Urbanization Levers of 31 Regions and Cities Based on the Developed Methods of Principal Component Analysis;
基于改进主成分分析法的全国城市化水平研究
16.
Improving PCA Application in Enterprise Performance Evaluation;
主成分分析法在企业绩效综合评价中的改进
17.
Application of Refined Principal-Element Analysis in Assessing Corporate Financial Appraisal;
改进的主成分分析在公司财务评价中的应用
18.
Based on the principal component extraction to improve the level of urbanization of the measure
基于改进的主成分分析的城镇化水平测度