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1

PointPCA：feature extraction algorithm for 3D point cloud

PointPCA:一种三维空间点云的特征提取算法

Ji Yulin

Zhong Jiandan

Li Yingxiang

Fu Junjie

Liu Jiawei

PointPCA

average point sampling

multi-scale spatial feature extraction

feature vector

No. 1, 2023 : 294-298 doi:10.19734/j.issn.1001-3695.2022.03.0214

2

Research on multi-model classification algorithm based on weight distribution

基于权值分布的多模型分类算法研究

Jiang Mengying

Lin Xiaozhu

Ke Yan

Wei Zhanhong

convolutional neural network

multi-model fusion

feature vector

feature extraction

weight distribution

No. 1, 2020 : 313-316 doi:10.19734/j.issn.1001-3695.2018.05.0506

3

Special threshold secret sharing scheme in sense of black box based on eigenvalue

基于特征值的黑盒子意义下的特殊门限秘密共享方案

Zhang Yanshuo

Li Wenjing

Shi Guozhen

Jiang Hua

Chen Lei

Yang Tao

Shamir(n,t) secret sharing

symmetric matrix

eigenvalues

feature vector

black box

No. 8, 2019 : 2444-2448,2463 doi:10.19734/j.issn.1001-3695.2018.01.0167

4

Cross site scripting vulnerabilities detection based on SVM technology

一种基于支持向量机的跨站脚本漏洞检测技术

Huang Nana

Wan Liang

SVM

XSS

feature vectors

Web security

feature selection

RE-SVM-REF algorithm

No. 2, 2019 : 506-510 doi:10.19734/j.issn.1001-3695.2017.08.0712

5

Research on feature vector extraction and dimension reduction of wearable fall detection

穿戴式跌倒检测中特征向量的提取和降维研究

Li Lei

Zhang Fan

Shi Huaji

Zhou Conghua

fall detection

feature vector

kernel principle component analysis

dimension reduction

No. 1, 2019 : 103-105,114 doi:10.19734/j.issn.1001-3695.2017.07.0674

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Searchfeature vectorreturned 5 results

PointPCA：feature extraction algorithm for 3D point cloud

Research on multi-model classification algorithm based on weight distribution

Special threshold secret sharing scheme in sense of black box based on eigenvalue

Cross site scripting vulnerabilities detection based on SVM technology

Research on feature vector extraction and dimension reduction of wearable fall detection