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Relative gradient local binary patterns method for face recognition under varying illuminations.

, , , , , and . J. Electronic Imaging, 22 (4): 043013 (2013)

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Data Representation Based on Interval-Sets for Anomaly Detection in Time Series., , , and . IEEE Access, (2018)Anomaly detection based on a dynamic Markov model., , and . Inf. Sci., (2017)Uncertainties of Multiport VNA S-Parameter Measurements Applying the GSOLT Calibration Method., , , , , and . IEEE Trans. Instrum. Meas., 61 (12): 3251-3258 (2012)A Piecewise Aggregate pattern representation approach for anomaly detection in time series., , , and . Knowl. Based Syst., (2017)An Improved DLDA Based Method- Nonparametric DLDA., , and . CIS, page 270-274. IEEE Computer Society, (2010)Uniform Local Derivative Patterns and Their Application in Face Recognition., , , , and . J. Signal Process. Syst., 74 (3): 405-416 (2014)Anomaly detection based on a granular Markov model., , , and . Expert Syst. Appl., (2022)A new strategy for the suppression of cross-terms in pseudo Wigner-Ville distribution., , and . Signal Image Video Process., 10 (1): 139-144 (2016)Multi-scale Risk Assessment Model of Network Security Based on LSTM., , , , , and . VECoS, volume 12519 of Lecture Notes in Computer Science, page 257-267. Springer, (2020)A novel multi-level framework for anomaly detection in time series data., , , , and . Appl. Intell., 53 (9): 10009-10026 (May 2023)