"Change Detection and Image Time-Series Analysis Volume 1 - Unsupervised Methods"

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Book	Author(s)	Year	Publisher
Change Detection and Image Time-Series Analysis Volume 1 - Unsupervised Methods	Abdourramahn Atto; Francesca Bovolo; Lorenzo Bruzzone	2021	John Wiley & Sons
Change Detection and Image Time-Series Analysis 2- Supervised Methods	Abdourramahn Atto; Francesca Bovolo; Lorenzo Bruzzone	2021	John Wiley & Sons
Mathematical Methods in Time Series Analysis and Digital Image Processing	Rainer Dahlhaus; Jürgen Kurths; Peter Maass; Jens Timmer	2008	Springer Berlin Heidelberg
Face Image Analysis by Unsupervised Learning	Marian Stewart Bartlett	2001	Springer US
Time Series Analysis: Methods and Applications	Tata Subba Rao; Suhasini Subba Rao; C.R. Rao	2012	Elsevier
Image Analysis and Mathematical Morphology, Volume 1	Jean Serra	1984	Academic Press
Nonlinear time series analysis: methods and applications	Diks, Cees	1999	World Scientific
Time series analysis: univariate and multivariate methods /	Wei, William W. S.	2006.	Pearson Addison Wesley,
Methods of Analysis and Detection	Anne McCarthy	October 4, 2001	Cambridge University
Wavelet Methods for Time Series Analysis	Donald B. Percival; Andrew T. Walden	2000-07	Cambridge University Press
Chemical Mutagens: Principles and Methods for Their Detection Volume 1	Alexander Hollaender	1971	Springer US
Mathematical Foundations of Image Processing and Analysis Volume 1	Jean-Charles Pinoli	2014	John Wiley & Sons
Time Series Analysis by State Space Methods	James Durbin; Siem Jan Koopman	2012	Oxford University Press
Image Analysis, Classification, and Change Detection in Remote Sensing: With Algorithms for Python	Morton John Canty	2019	Routledge
Advances in Face Detection and Facial Image Analysis	Michal Kawulok; Emre Celebi; Bogdan Smolka	1st ed. 2016	Springer International Publishing
Volume 2 Image Analysis	Tsinghua University Tsinghua University Press; Yujin Zhang	2017	De Gruyter
Time Series Analysis Methods and Applications for Flight Data	Jianye Zhang; Peng Zhang	1st ed. 2017	Springer Berlin Heidelberg
Climate Time Series Analysis: Classical Statistical and Bootstrap Methods	Manfred Mudelsee	2010	Springer Netherlands
Climate Time Series Analysis: Classical Statistical and Bootstrap Methods	Manfred Mudelsee	2nd ed. 2014	Springer International Publishing
Volume 3 Time Series, Fuzzy Analysis and Miscellaneous Topics	De Gruyter; Peter G. Hall; Madan Lal Puri	2003	De Gruyter Mouton
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection	Max Landauer; Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Peter Filzmoser	Information Security Practice and Experience: 14th International Conference, ISPEC 2018, Tokyo, Japan, September 25-27, 2018, Proceedings	Chunhua Su; Hiroaki Kikuchi	1st ed. 2018	Springer International Publishing
Unsupervised methods for time-series		Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods	Ben Auffarth	2021	Packt Publishing - ebooks Account
Time Series Analysis and Structural Change Detection		Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches (Premier Reference Source)	A. B. M. Shawkat Ali, Yang Xiang	2009	IGI Global
Unsupervised change detection		Remote Sensing Image Processing	Gustavo Camps-Valls, Devis Tuia, Luis Gómez-Chova, Sandra Jiménez, and Jesús Malo	2012	Morgan & Claypool Publishers
Time-series Analysis Methods	William J. Emery; Richard E. Thomson	Data Analysis Methods in Physical Oceanography (Revised Second Edition)	William J. Emery and Richard E. Thomson	2001	Elsevier Science
Time Series Analysis Methods	Richard E. Thomson; William J. Emery	Data Analysis Methods in Physical Oceanography (Third Edition)	Richard E. Thomson and William J. Emery	2014	Elsevier
Chapter 6: Unsupervised Methods for Time-Series		Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods	Ben Auffarth	2021	Packt Publishing - ebooks Account
Structural Change and Time Series Analysis	Lyle D. Broemeling	Statistical Analysis and Forecasting of Economic Structural Change	Peter Hackl	1989	Springer Berlin Heidelberg
Unsupervised Fraud Detection in Environmental Time Series Data	Xiaochun Wang; Xiali Wang; Mitch Wilkes	New Developments in Unsupervised Outlier Detection: Algorithms and Applications	Xiaochun Wang; Xiali Wang; Mitch Wilkes	1st ed. 2021	Springer Nature Singapore
Methods for Time Series Analysis	Deepesh Machiwal; Madan Kumar Jha	Hydrologic Time Series Analysis: Theory and Practice	Deepesh Machiwal; Madan Kumar Jha	2012	Springer Netherlands
Methods of Time Series Analysis	Zhengming Wang; Dongyun Yi; Xiaojun Duan; Jing Yao; Defeng Gu	Measurement Data Modeling and Parameter Estimation	Zhengming Wang; Dongyun Yi; Xiaojun Duan; Jing Yao; Defeng Gu	2012	Routledge
TIME SERIES ANALYSIS: OTHER METHODS	Hoi K. Suen; Donald Ary	Analyzing Quantitative Behavioral Observation Data	Hoi K. Suen; Donald Ary	1989	Routledge
Unsupervised Hyperspectral Image Analysis		Hyperspectral Imaging: Algorithm Design and Analysis	Chein-I Chang	2013	John Wiley & Sons
1. Time series analysis		Environmental Data Analysis: Methods and Applications	Zhihua Zhang	2017	De Gruyter
Image change detection		QGIS Python programming cookbook over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework	Lawhead, Joel	2015	Packt Publishing - ebooks Account
Fake Finger Detection Based on Time-Series Fingerprint Image Analysis	Jia Jia; Lianhong Cai	Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues: Third International Conference on Intelligent Computing, ICIC 2007 Qingdao, China, August 21-24, 2007 Proceedings	De-Shuang Huang; Laurent Heutte; Marco Loog	2007	Springer Berlin Heidelberg
TEXTURE ANALYSIS BASED CHANGE DETECTION METHODS	Murat İlsever; Cem Ünsalan	Two-Dimensional Change Detection Methods: Remote Sensing Applications	Murat İlsever; Cem Ünsalan	2012	Springer London
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series	Wadie Skaf; Tomáš Horváth	New Trends in Database and Information Systems: ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings	Silvia Chiusano; Tania Cerquitelli; Robert Wrembel; Kjetil Nørvåg; Barbara Catania; Genoveva Vargas-Solar; Ester Zumpano	1st ed. 2022	Springer International Publishing
VGG Based Unsupervised Anomaly Detection in Multivariate Time Series	Grzegorz Jabłoński	Advanced, Contemporary Control: Proceedings of KKA 2020—The 20th Polish Control Conference, Łódź, Poland, 2020	Andrzej Bartoszewicz; Jacek Kabziński; Janusz Kacprzyk	1st ed. 2020	Springer International Publishing
11-1 Time Series Methods		Spreadsheet modeling and decision analysis: a practical introduction to business analytics	Cliff T. Ragsdale	2022	Cengage South-Western
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