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A Feature Space Analysis for Anomaly Detection
2005 IEEE International Conference on Systems, Man and Cybernetics
◽
10.1109/icsmc.2005.1571706
◽
2006
◽
Cited By ~ 3
Author(s):
Shuyuan Jin
◽
Daniel So Yeung
◽
Xizhao Wang
◽
E.C.C. Tsang
Keyword(s):
Anomaly Detection
◽
Feature Space
◽
Space Analysis
Download Full-text
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Cited By
References
Feature Space Analysis of MRI
Signal Processing for Magnetic Resonance Imaging and Spectroscopy
◽
10.1201/9780203908785-12
◽
2002
◽
pp. 275-336
Keyword(s):
Feature Space
◽
Space Analysis
Download Full-text
Improved discriminant nearest feature space analysis for variable lighting face recognition
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)
◽
10.1109/iscas.2013.6572506
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2013
◽
Author(s):
Shih-Ming Huang
◽
Jar-Ferr Yang
Keyword(s):
Face Recognition
◽
Feature Space
◽
Space Analysis
Download Full-text
Effective Noise Removal and Unified Model of Hybrid Feature Space Optimization for Automated Cardiac Anomaly Detection Using Phonocardiogarm Signals
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp.2018.8461765
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2018
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Cited By ~ 1
Author(s):
Arijit Ukil
◽
Soma Bandyopadhyay
◽
Chetanya Puri
◽
Rituraj Singh
◽
Arpan Pal
Keyword(s):
Anomaly Detection
◽
Feature Space
◽
Noise Removal
◽
Unified Model
◽
Cardiac Anomaly
Download Full-text
Feature space analysis using low-order tensor voting
2004 International Conference on Image Processing, 2004. ICIP '04.
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10.1109/icip.2004.1421656
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2005
◽
Author(s):
Jia Wang
◽
Hanqing Lu
◽
Qingshan Liu
Keyword(s):
Feature Space
◽
Tensor Voting
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Order Tensor
◽
Space Analysis
◽
Low Order
Download Full-text
Feature space analysis: effects of MRI protocols
10.1117/12.387662
◽
2000
◽
Author(s):
Hamid Soltanian-Zadeh
◽
Lisa Scarpace
◽
Donald J. Peck
Keyword(s):
Feature Space
◽
Space Analysis
Download Full-text
Feature space analysis of MRI
10.1117/12.274127
◽
1997
◽
Author(s):
Hamid Soltanian-Zadeh
◽
Joe P. Windham
◽
Donald J. Peck
Keyword(s):
Feature Space
◽
Space Analysis
Download Full-text
Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space
2017 IEEE Winter Conference on Applications of Computer Vision (WACV)
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10.1109/wacv.2017.118
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2017
◽
Cited By ~ 13
Author(s):
Asim Munawar
◽
Phongtharin Vinayavekhin
◽
Giovanni De Magistris
Keyword(s):
Anomaly Detection
◽
Feature Space
◽
Industrial Robots
◽
Spatio Temporal
Download Full-text
Exploiting the sparse characteristics in probabilistic feature space for hyperspectral anomaly detection
Journal of Applied Remote Sensing
◽
10.1117/1.jrs.15.046510
◽
2022
◽
Vol 15
(04)
◽
Author(s):
Shaoqi Yu
◽
Xiaorun Li
◽
Shuhan Chen
◽
Liaoying Zhao
Keyword(s):
Anomaly Detection
◽
Feature Space
Download Full-text
Explainable Artificial Intelligence Methods Based on Feature Space Analysis
10.1109/cts53513.2021.9562814
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2021
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Author(s):
Nikita V. Popov
◽
Natalya V. Shevskaya
Keyword(s):
Artificial Intelligence
◽
Feature Space
◽
Space Analysis
◽
Artificial Intelligence Methods
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Explainable Artificial Intelligence
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An Anomaly Detection Method for Hyperspectral Imagery in Kernel Feature Space Based on Robust Analysis
ACTA PHOTONICA SINICA
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10.3788/gzxb20134208.0883
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2013
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Vol 42
(8)
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pp. 883-890
Author(s):
赵锐 ZHAO Ruia
◽
杜博 DU Bob
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张良培 ZHANG Liangpeia
Keyword(s):
Anomaly Detection
◽
Detection Method
◽
Hyperspectral Imagery
◽
Feature Space
◽
Robust Analysis
Download Full-text
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