Probabilistic principal component analysis‐based anomaly detection for structures with missing data

Missing Data ◽

Anomaly Detection ◽

Principal Component ◽

Component Analysis ◽

Probabilistic principal component analysis with expectation maximization (PPCA-EM) facilitates volume classification and estimates the missing data

Journal of Structural Biology ◽

10.1016/j.jsb.2010.04.002 ◽

2010 ◽

Vol 171 (1) ◽

pp. 18-30 ◽

Cited By ~ 34

Author(s):

Lingbo Yu ◽

Robert R. Snapp ◽

Teresa Ruiz ◽

Michael Radermacher

Keyword(s):

Missing Data ◽

Expectation Maximization ◽

Principal Component ◽

Component Analysis ◽

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/rssc.12105 ◽

2015 ◽

Vol 65 (1) ◽

pp. 51-75 ◽

Cited By ~ 5

Author(s):

Marco Geraci ◽

Alessio Farcomeni

Keyword(s):

Physical Activity ◽

Missing Data ◽

Principal Component ◽

Component Analysis ◽

Probabilistic Principal Component Analysis using Expectation Maximization (PPCA-EM) for Analyzing 3D Volumes with Missing Data

Microscopy and Microanalysis ◽

10.1017/s143192761005734x ◽

2010 ◽

Vol 16 (S2) ◽

pp. 836-837

Author(s):

L Yu ◽

RR Snapp ◽

T Ruiz ◽

M Radermacher

Keyword(s):

Missing Data ◽

Expectation Maximization ◽

Principal Component ◽

Component Analysis ◽

Extended abstract of a paper presented at Microscopy and Microanalysis 2010 in Portland, Oregon, USA, August 1 – August 5, 2010.

Image Quality Measurement by Probabilistic Principal Component Analysis

2020 6th International Symposium on System and Software Reliability (ISSSR) ◽

10.1109/isssr51244.2020.00031 ◽

2020 ◽

Author(s):

Hua-Wen Chang ◽

Kai Chen ◽

Xiao-Dong Bi ◽

Ming-Hui Wang

Keyword(s):

Image Quality ◽

Quality Measurement ◽

Principal Component ◽

Component Analysis ◽

Learning robust manipulation tasks involving contact using trajectory parameterized probabilistic principal component analysis

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9364328 ◽

2020 ◽

Author(s):

Cristian Vergara Perico ◽

Joris de Schutter ◽

Erwin Aertbelien

Keyword(s):

Principal Component ◽

Component Analysis ◽

An Anomaly Detection Algorithm for Microservice Architecture Based on Robust Principal Component Analysis

IEEE Access ◽

10.1109/access.2020.3044610 ◽

2020 ◽

Vol 8 ◽

pp. 226397-226408

Author(s):

Mingxu Jin ◽

Aoran Lv ◽

Yuanpeng Zhu ◽

Zijiang Wen ◽

Yubin Zhong ◽

...

Keyword(s):

Anomaly Detection ◽

Principal Component ◽

Component Analysis ◽

Detection Algorithm ◽

Robust Principal Component Analysis ◽

Microservice Architecture

Principal Component Analysis with Missing Data and Its Application to Polyhedral Object Modeling

Modeling from Reality ◽

10.1007/978-1-4615-0797-0_1 ◽

2001 ◽

pp. 3-39 ◽

Cited By ~ 3

Author(s):

Harry Shum ◽

Katsushi Ikeuchi ◽

Raj Reddy

Keyword(s):

Missing Data ◽

Principal Component ◽

Component Analysis ◽

Object Modeling

Autonomous profile-based anomaly detection system using principal component analysis and flow analysis

Applied Soft Computing ◽

10.1016/j.asoc.2015.05.019 ◽

2015 ◽

Vol 34 ◽

pp. 513-525 ◽

Cited By ~ 21

Author(s):

Gilberto Fernandes ◽

Joel J.P.C. Rodrigues ◽

Mario Lemes Proença

Keyword(s):

Anomaly Detection ◽

Detection System ◽

Flow Analysis ◽

Principal Component ◽

Component Analysis ◽

Anomaly Detection System

An Anomaly Detection Model Using Principal Component Analysis Technique for Medical Wireless Sensor Networks

10.1109/icodsa53588.2021.9617547 ◽

2021 ◽

Author(s):

Nabeel Abdulrazaq Yaseen ◽

Abbas Abd-Alhussein Hadad ◽

Mustafa Sabah Taha

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Anomaly Detection ◽

Principal Component ◽

Component Analysis ◽

Wireless Sensor ◽

Detection Model ◽

Analysis Technique

3D face dense reconstruction based on sparse points using probabilistic principal component analysis

Multimedia Tools and Applications ◽

10.1007/s11042-021-11707-0 ◽

2021 ◽

Author(s):

Xiaoxiao Xie ◽

Xingce Wang ◽

Zhongke Wu

Keyword(s):

Principal Component ◽

Component Analysis ◽

3D Face ◽

Dense Reconstruction ◽