Anomaly detection: a survey, ACM Comput. Surv, vol.43, issue.3, 2009. ,
Anomaly detection for discrete sequences: a survey, ACM Comput. Surv, vol.24, issue.5, 2012. ,
A review of novelty detection, Signal Process, vol.99, pp.215-249, 2014. ,
Novelty detection: a review -part 2: neural network based approaches, Signal Process, vol.83, pp.2499-2521, 2003. ,
Novelty detection: a review -part 1: statistical approaches, Signal Process, vol.83, pp.2481-2497, 2003. ,
Statistical methods for outlier detection in space telemetries, Proc. Int. Conf. Space Operations (SpaceOps'2018), 2018. ,
Improving spacecraft health monitoring with automatic anomaly detection techniques, Proc. Int. Conf. Space Operations (SpaceOps'2016), 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01490731
New telemetry monitoring paradigm with novelty detection, Proc. Int. Conf. Space Operations (SpaceOps'2012), 2012. ,
Project sybil: a novelty detection system for human spaceflight operations, Proc. Int. Conf. Space Operations (SpaceOps'2016), 2016. ,
ATHMoS: automated telemetry health monitoring system at GSOC using outlier detection and supervised machine learning, Proc. Int. Conf. Space Operations (SpaceOps'2016), 2016. ,
Detecting spacecraft anomalies using LSTMs and nonparametric dynamic thresholding, Proc. Int. Conf. Knowledge Data Mining (KDD'2018), pp.387-395, 2018. ,
Applications of deep learning neural networks to satellite telemetry monitoring, Proc. Int. Conf. Space Operations (SpaceOps'2018), 2018. ,
Anomaly detection from multivariate times-series with sparse representation, Proc. IEEE Int. Conf. Syst. Man and Cybernetics, 2014. ,
A data-driven health monitoring method for satellite housekeeping data based on pobabilistic clustering and dimensionality reduction, IEEE Trans. Aerosp. Electron. Syst, vol.53, issue.3, pp.1384-1401, 2017. ,
Sparse coding with anomaly detection, J. Signal Process. Syst, vol.79, issue.2, pp.179-188, 2015. ,
, Pattern Classification and Scene Analysis, 1973.
High-dimensional data analysis: the curses and blessings of dimensionality, AMS Math Challenges Lecture, 2000. ,
Outlying sequence detection in large data sets: a data-driven approach, IEEE Signal Process. Mag, vol.31, issue.5, pp.44-56, 2014. ,
Recent developments in the sparse fourier transform: a compressed fourier transform for big data, IEEE Signal Process. Mag, vol.31, issue.5, pp.91-100, 2014. ,
Robust fault detection with missing data via sparse decomposition, Proc. Int. Fed. Automatic Control (IFAC'2013), 2013. ,
Image denoising via sparse and redundant representation over learned dictionaries, IEEE Trans. Image Process, vol.14, issue.12, pp.3736-3745, 2006. ,
Sparsity-based image denoising via dictionary learning and structural clustering, Proc. IEEE conf. Comput. Vis. Pattern Recogni. (CVPR'2010), 2010. ,
A fast nonlocally centralized sparse representation algorithm for image denoising, Signal Process, vol.131, pp.99-112, 2017. ,
Sparse representation for signal classification, Proc. Neur. Inf. Process. Syst. (NIPS'2006), 2006. ,
Robust visual tracking and vehicle classification via sparse representation, IEEE Trans. Patt. Anal. Mach. intell, vol.33, issue.11, pp.2259-2272, 2011. ,
A review of sparsity-based clustering methods, Signal Process, vol.148, pp.20-30, 2018. ,
Robust face recognition via sparse representation, IEEE Trans. Patt. Anal. Mach. intell, vol.31, issue.3, pp.1-18, 2009. ,
Discriminative K-SVD for dictionary learning in face recognition, Proc. IEEE conf. Comput. Vis. Pattern Recogni, 2010. ,
Sparse representation and learning in visual recognition: theory and applications, Signal Process, vol.93, pp.1408-1425, 2013. ,
Anomaly detection in hyperspectral images based on low-rank and sparse representation, IEEE Trans. Geosci. Remote Sens, vol.54, issue.4, 1990. ,
Sparse representation based anomaly detection with enhanced local dictionaries, Proc. IEEE Int. Conf. Image Process, 2014. ,
Matching pursuits with times-frequency dictionaries, IEEE Trans. Signal Process, vol.41, issue.12, pp.3397-3415, 1993. ,
Orthogonal matching pursuits: Recursive function approximation with application to wavelet decomposition, Proc. Asilomar Conf. Signals, Syst. Comput. (ACSSC'1993), 1993. ,
Regression shrinkage and selection via the LASSO, J. Roy. Statist. Soc. Ser. B (Methodological), vol.58, issue.1, pp.267-288, 1996. ,
Dictionary learning, IEEE Signal Process. Mag, vol.28, pp.27-38, 2011. ,
K-SVD: an algorithm for designing overcomplete dictionaries for sparse decomposition, IEEE Trans. Signal. Process, vol.54, issue.11, pp.4311-4322, 2006. ,
Online dictionary learning for sparse coding, Proc. Int. Conf. Mach. Learn. (ICML'2009), pp.689-696, 2009. ,
Least angle regression, Ann. Statist, vol.32, issue.2, pp.407-499, 2004. ,
A new approach to variable selection in least squares problems, IMA J. Num. Anal, vol.20, issue.3, pp.389-403 ,
Distributed optimization and statistical learning via alternating direction method of multipliers, Found. Trends Mach. Learn, vol.3, issue.1, pp.1-222, 2010. ,
On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators, Math. Program. (Ser. A B), vol.55, issue.3, pp.293-318, 1992. ,
Estimating the support of a high-dimensional distribution, Neural Comput, vol.3, issue.7, pp.1443-1471, 2001. ,
Maximum likelihood from incomplete data via the EM algorithm, J. Roy. Statist. Soc. Ser. B (Methodological), vol.39, issue.1, pp.1-38, 1997. ,
He , K-means clustering via principal component analysis, Int. Conf. Machine Learning (ICML'2004), 2004. ,
Bayesian Inference: an Introduction to Principles and Practice in Machine Learning, 2004. ,