A Two-Phase Framework based on 2-D feature extraction algorithms

机译：基于二维特征提取算法的两阶段框架

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper, we proposed a Two-Phase framework based 2-D feature extraction algorithms to overcome the common disadvantage which 2-D algorithms have. To verify the validity of the framework, a series of experiments were performed on the ORL database based on three 2-D algorithms: 2DPCA, 2DLDA and 2DLEM. The results show that the 2-P framework can reduce the coefficients effectively and have achieved the approximate performance to direct 2-D algorithms. The experiments have also indicated that 2DLEM has outstanding performance not only in the direct 2-D algorithms but in the 2-P framework.

机译：在本文中，我们提出了一种基于两阶段框架的二维特征提取算法，以克服二维算法具有的共同缺点。为了验证该框架的有效性，基于3D算法（2DPCA，2DLDA和2DLEM）在ORL数据库上进行了一系列实验。结果表明，2-P框架可以有效地降低系数，并达到了直接二维算法的近似性能。实验还表明2DLEM不仅在直接2-D算法中而且在2-P框架中均具有出色的性能。

著录项

来源
《International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN)》|2006年|P.1746-1749|共4页
会议地点 Guilin(CN)
作者
Jiangfeng Chen; Baozong Yuan; Ming Liu;
展开▼
作者单位

Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P. R. China;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类通信理论;
关键词

相似文献

外文文献
中文文献
专利

1. A New Object Tracking Framework for Interest Point Based Feature Extraction Algorithms [J] . Guler Zafer, Cinar Ahmet, Ozbay Erdal Elektronika ir Elektrotechnika . 2020,第1期

机译：基于兴趣点特征提取算法的新对象跟踪框架
2. A THEORETICAL FRAMEWORK FOR MATRIX-BASED FEATURE EXTRACTION ALGORITHMS WITH ITS APPLICATION TO IMAGE RECOGNITION [J] . GUIYU FENG, DAVID ZHANG, JIAN YANG, International Journal of Image and Graphics . 2008,第1期

机译：基于矩阵的特征提取算法的理论框架及其在图像识别中的应用
3. A Novel Feature Extraction Algorithm for IED Detection from 2-D Images using Minimum Connected Components [J] . Vijayalakshmi Ramasamy, D. Nandagopal, M. Tran, Procedia Computer Science . 2017,第1期

机译：一种使用最小连接分量的二维图像IED检测新特征提取算法
4. A Framework of Novel Feature Set Extraction based Intrusion Detection System for Internet of Things using Hybrid Machine Learning Algorithms [C] . M. Nivaashini, P. Thangaraj 2018 International Conference on Computing, Power and Communication Technologies . 2018

机译：基于混合机器学习算法的新型基于特征集提取的物联网入侵检测系统框架
5. A Scale Space Local Binary Pattern (SSLBP) - Based Feature Extraction Framework to Detect Bones from Knee MRI Scans [D] . Mun, Jinyeong 2018

机译：基于尺度空间局部二进制模式（SSLBP）的特征提取框架，可从膝盖MRI扫描中检测骨骼
6. Constructing an Emotion Estimation Model Based on EEG/HRV Indexes Using Feature Extraction and Feature Selection Algorithms [O] . Kei Suzuki, Tipporn Laohakangvalvit, Ryota Matsubara, 2021

机译：使用特征提取和特征选择算法构建基于EEG / HRV索引的情绪估计模型
7. A New Object Tracking Framework for Interest Point Based Feature Extraction Algorithms [O] . Zafer Guler, Ahmet Cinar, Erdal Ozbay 2020

机译：基于兴趣点特征提取算法的新对象跟踪框架
8. Implemented 2-D Local Feature Extraction Framework. Methodology Report. [R] . Olsson, H. 2000

机译：实现了二维局部特征提取框架。方法报告。

A Two-Phase Framework based on 2-D feature extraction algorithms

摘要

著录项

相似文献

相关主题

期刊订阅