Comparison and validation of band residual difference algorithm and principal component analysis algorithm for retrievals of atmospheric SO2 columns from satellite observations

Principal Component ◽

Component Analysis ◽

Satellite Observations ◽

Analysis Algorithm ◽

Residual Difference ◽

Partial Discharge Recognition Reliability Considering the Influence of Multi-factors Based on the Two-directional Fuzzy-weighted Two-dimensional Principal Component Analysis Algorithm

Electric Power Components and Systems ◽

10.1080/15325008.2015.1115920 ◽

2016 ◽

Vol 44 (4) ◽

pp. 459-470 ◽

Cited By ~ 1

Author(s):

Jinzhong Li ◽

Qiaogen Zhang ◽

Ke Wang ◽

Ruijin Liao

Keyword(s):

Partial Discharge ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional ◽

Analysis Algorithm ◽

A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis

2017 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2017.8258403 ◽

2017 ◽

Author(s):

Yixuan Qiu ◽

Wutao Wei

Keyword(s):

Access Control ◽

Principal Component ◽

Component Analysis ◽

Control Analysis ◽

Analysis Algorithm ◽

User Access ◽

Overview of principal component analysis algorithm

Optik ◽

10.1016/j.ijleo.2016.01.033 ◽

2016 ◽

Vol 127 (9) ◽

pp. 3935-3944 ◽

Cited By ~ 17

Author(s):

Lingjun Li ◽

Shigang Liu ◽

Yali Peng ◽

Zengguo Sun

Keyword(s):

Principal Component ◽

Component Analysis ◽

Analysis Algorithm ◽

2017 10th UK-Europe-China Workshop on Millimetre Waves and Terahertz Technologies (UCMMT) ◽

Detection and identification of flammable and explosive liquids using THz time-domain spectroscopy with principal component analysis algorithm

10.1109/ucmmt.2017.8068488 ◽

2017 ◽

Author(s):

Xinhui Tan ◽

Shisheng Huang ◽

Yihui Zhong ◽

Hu Yuan ◽

Yepeng Zhou ◽

...

Keyword(s):

Time Domain ◽

Principal Component ◽

Component Analysis ◽

Time Domain Spectroscopy ◽

Analysis Algorithm ◽

Detection And Identification ◽

An Optimized Kernel Principal Component Analysis Algorithm for Fault Detection

IFAC Proceedings Volumes ◽

10.3182/20090630-4-es-2003.00139 ◽

2009 ◽

Vol 42 (8) ◽

pp. 846-851 ◽

Cited By ~ 1

Author(s):

Huaitao Shi ◽

Jianchang Liu ◽

Yingwei Zhang

Keyword(s):

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Analysis Algorithm ◽

Multi-block statistics local kernel principal component analysis algorithm and its application in nonlinear process fault detection

Neurocomputing ◽

10.1016/j.neucom.2019.09.075 ◽

2020 ◽

Vol 376 ◽

pp. 222-231 ◽

Cited By ~ 3

Author(s):

Bingqian Zhou ◽

Xingsheng Gu

Keyword(s):

Fault Detection ◽

Principal Component ◽

Nonlinear Process ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Analysis Algorithm ◽

Evaluation of Principal Component Analysis Algorithm for Locomotion Activities Detection in a Tiny Machine Learning Device

10.1109/eircon52903.2021.9613450 ◽

2021 ◽

Author(s):

Ricardo Yauri ◽

Ruben Acosta ◽

Marco Jurado ◽

Milton Rios

Keyword(s):

Machine Learning ◽

Principal Component ◽

Component Analysis ◽

Analysis Algorithm ◽

A Method of 3D Face Recognition Based on Principal Component Analysis Algorithm

2005 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2005.1465311 ◽

2005 ◽

Cited By ~ 1

Author(s):

Xue Yuan ◽

Jianming Lu ◽

T. Yahagi

Keyword(s):

Face Recognition ◽

Principal Component ◽

Component Analysis ◽

3D Face Recognition ◽

Analysis Algorithm ◽

3D Face ◽

Real-time digital implementation of a principal component analysis algorithm for neurons spike detection

2018 International Conference on IC Design & Technology (ICICDT) ◽

10.1109/icicdt.2018.8399749 ◽

2018 ◽

Author(s):

E. A. Vallicelli ◽

F. Fary ◽

A. Baschirotto ◽

M. de Matteis ◽

M. Reato ◽

...

Keyword(s):

Real Time ◽

Principal Component ◽

Component Analysis ◽

Spike Detection ◽

Digital Implementation ◽

Analysis Algorithm ◽

Comparison of Gaussian and Poisson noise models in a hybrid reference spectrum and principal component analysis algorithm for Raman spectroscopy

10.1117/12.2005455 ◽

2013 ◽

Cited By ~ 3

Author(s):

Dominique Van de Sompel ◽

Ellis Garai ◽

Cristina Zavaleta ◽

Sanjiv S. Gambhir

Keyword(s):

Raman Spectroscopy ◽

Principal Component ◽

Component Analysis ◽

Poisson Noise ◽

Reference Spectrum ◽

Analysis Algorithm ◽

Principal Component Analysis Algorithm ◽

Noise Models