1.
Research on Loran-C Sky Wave Delay Estimation Using Eigen-decomposition Algorithm
基于特征向量算法的Loran-C天波延迟估计的研究
2.
A Simple Algorithm for Finding Eigenvalues and Eigenvectors for 2-order Matrices
2阶矩阵特征根和特征向量的一个简单算法
3.
Feature Vector Optimization in Face Recognition
人脸识别中的特征向量优化算法研究
4.
Support vector machine feature selection algorithm based on modified genetic algorithm
改进遗传算法和支持向量机的特征选择算法
5.
Automatic digital modulation classification algorithm based on novel combined feature vector
基于联合特征向量的自动数字调制识别算法
6.
Feature Selection of Corn Seed--Based on Genetic Algorithm and Support Vector Machine
玉米籽粒的特征选择算法——基于支持向量机与遗传算法
7.
A New Method of Matrix Eigenvalue and Eigenvector
求矩阵的特征值与特征向量的新方法
8.
Research on Extraction of Feature Gene Subset Based on a Hybrid between Genetic Arithmetic and Support Vector Machines;
基于遗传算法与支持向量机融合的特征基因抽取方法研究
9.
Rapid Algorithm for Sensitivity Analysis of Eigenvectors in Damped Linear Defective Vibration Systems;
线性振动阻尼亏损系统特征向量灵敏度分析快速算法的研究
10.
Study on a Recursive Eigenvector Estimation Algorithm and Its Application in Spectral Estimation;
特征向量递推估计算法的研究及在谱估计中的应用
11.
Algorithm Analysis of Attribute Vector-based Image Registration Method and Its Application in Medical Ultrasound Images
基于特征向量的图像配准算法分析及其在医学超声图像中的应用
12.
A Support Vector Machine Regression Algorithm based on Partial Least Squares Feature Extraction
基于偏最小二乘特征提取的支持向量机回归算法
13.
Prediction of Membrane Protein Types by Combining Features and Weighted-Support Vector Machine
多特征融合提取算法结合支持向量机预测膜蛋白类型
14.
A Self-organization Algorithm for Community Based on Ontology-based Learner's Interest Eigenvector Space Model
基于本体兴趣特征向量空间模型的社区自组织算法
15.
Improving Hyperspectral Matching Method through Feature-Selection/Weighting Based on SVM
基于支持向量机(SVM)特征加权/选择的光谱匹配算法
16.
A more stable feature vector with more information is extracted.
该方法使特征向量的信息量增加，特征更加稳定。
17.
A fast string matching algorithm for large-scale pattern sets
一种面向大规模特征集的高效特征匹配算法
18.
A new online coupled algorithm for PCA and MCA which can simultaneously extract the eigenvectors and eigenvalues of the covariance matrix with coupled iterations is obtained.
给出能同时得到主成分分析或小成分分析所要求的特征值和特征向量的实时算法。