"Introduction to Random Tree and Random Forests for Fast Signal Processing and Object Classification"

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Book	Author(s)	Year	Publisher
Random Signal Processing	Shaila Dinkar Apte	2017	Routledge
Random signal processing /	Mix, Dwight F.,	[1995], ©1995.	Prentice Hall,
Fast Algorithms for Signal Processing	Richard E. Blahut	2010-06	Cambridge University Press
Introduction to signal processing /	Orfanidis, Sophocles J.	1996.	Prentice Hall,
Digital signal processing and statistical classification /	Miao, George J.; Clements, Mark A.	[2002], ©2002.	Artech House,
Introduction to Graph Signal Processing	Antonio Ortega	2022-06	Cambridge University Press
Introduction to Digital Signal Processing	B. A. Shenoi	2005	John Wiley & Sons
Introduction to Digital Signal Processing	Bob Meddins	2000	Newnes
Introduction to Digital Signal Processing	Kuc, Roman.	1982	BS Publications
Introduction to acoustic signal processing	Goerge L. Sackman	1977	Naval Postgraduate School
Introduction to digital signal processing	Roman Kuc	1988	McGraw-Hill
Pseudo Random Signal Processing - Theory and Application	Hans-Jürgen Zepernick	2005	John Wiley & Sons
Probability and random processes with applications to signal processing /	Stark, Henry,; Woods, John W.; Stark, Henry,	[2002], ©2002.	Prentice Hall,
Signal Processing of Random Physiological Signals	Charles Lessard		Springer International Publishing
An Introduction to Signal Processing for Non-Engineers	Afshin Samani	2019	Routledge
An Introduction to Statistical Signal Processing	Robert M. Gray; Lee D. Davisson	2004-12	Cambridge University Press
An Introduction to Digital Signal Processing	John H. Karl	1989	Academic Press
An Introduction To Statistical Signal Processing			cambridge univercity press
An introduction to digital signal processing	John H. Karl	1989	Academic Press
Introduction to discrete-time signal processing	Steven A. Tretter	1976	Wiley
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Introduction to Random Tree and Random Forests for Fast Signal Processing and Object Classification	Wan-Chi Siu; Xue-Fei Yang; Li-Wen Wang; Jun-Jie Huang; Zhi-Song Liu	Learning Approaches in Signal Processing	Wan-Chi Siu; Lap-Pui Chau; Liang Wang; Tieniu Tang	2018	Routledge
Random forests for classification		Hands-On Ensemble Learning with Python	George Kyriakides; Konstantinos G Margaritis	2019	Packt Publishing, Limited
Co-occurrence Random Forests for Object Localization and Classification	Yu-Wu Chu; Tyng-Luh Liu	Computer Vision -- ACCV 2009: 9th Asian Conference on Computer Vision, Xi' an, China, September 23-27, 2009, Revised Selected Papers, Part III	Hongbin Zha; Rin-ichiro Taniguchi; Stephen Maybank	2010	Springer Berlin Heidelberg
Random Forests for Object Detection	Mingming Zhu; Lang Ye; Siyu Xia; Hong Pan	Proceedings of the 2015 Chinese Intelligent Automation Conference: Intelligent Information Processing	Zhidong Deng; Hongbo Li	2015	Springer Berlin Heidelberg
- Random Signal Processing	Michael Corinthios	Signals, Systems, Transforms, and Digital Signal Processing with MATLAB	Michael Corinthios	2009	Routledge
Introduction to random forests		Ensemble Machine Learning Cookbook: Over 35 practical recipes to explore ensemble machine learning techniques using Python	Dipayan Sarkar, Vijayalakshmi Natarajan	2019	Packt Publishing
An Introduction to Random Forests for Multi-class Object Detection	Juergen Gall; Nima Razavi; Luc Van Gool	Outdoor and Large-Scale Real-World Scene Analysis: 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers	Frank Dellaert; Jan-Michael Frahm; Marc Pollefeys; Laura Leal-Taixé; Bodo Rosenhahn	2012	Springer Berlin Heidelberg
Ordinal Random Forests for Object Detection	Samuel Schulter; Peter M. Roth; Horst Bischof	Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany, September 3-6, 2013, Proceedings	Joachim Weickert; Matthias Hein; Bernt Schiele	2013	Springer Berlin Heidelberg
312 Batch Processing for Random Forests		Handbook Of Pattern Recognition And Computer Vision	C H Chen	2020	World Scientific Publishing Company
Introduction to Signal Processing	Matthew A. Carlton; Jay L. Devore	Probability with Applications in Engineering, Science, and Technology	Matthew A. Carlton; Jay L. Devore	2nd ed. 2017	Springer International Publishing
Introduction to Signal Processing	Ralph D. Hippenstiel	Detection Theory: Applications and Digital Signal Processing	Ralph D. Hippenstiel	2002	Routledge
Introduction to Signal Processing		Fundamentals of Protein NMR Spectroscopy	Gordon S. Rule; T. Kevin Hitchens	2006	Springer Netherlands
Introduction to Signal processing	A.C. Fischer-Cripps	Newnes Interfacing Companion	A.C. Fischer-Cripps	2002	Newnes
INTRODUCTION TO SIGNAL PROCESSING	Yih-Fang Huang	The Electrical Engineering Handbook	Wai-Kai Chen	2005	Academic Press
Random Digital Signal Processing	Alexander D. Poularikas	Handbook of Formulas and Tables for Signal Processing	Alexander D. Poularikas	1998	Routledge
37 Random signal processing		Correlation Pattern Recognition	B.V.K.VIJAYAKUMAR, ABHIJIT MAHALANOBIS		CUP
14 Random signal processing		Applied Digital Signal Processing: Theory and Practice	Dimitris G. Manolakis, Vinay K. Ingle	2011	Cambridge University Press
Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB	Anita Prinzie; Dirk Van den Poel	Database and Expert Systems Applications: 18th International Conference, DEXA 2007, Regensburg, Germany, September 3-7, 2007, Proceedings	Roland Wagner; Norman Revell; Günther Pernul	2007	Springer Berlin Heidelberg
Introduction To Tree Classification	Leo Breiman; Jerome H. Friedman; Richard A. Olshen; Charles J. Stone	Classification And Regression Trees	Leo Breiman	1984	Routledge
Oxides Classification with Random Forests	Kai Xiao; Baitong Chen; Wenzheng Bao; Honglin Cheng	Intelligent Computing Theories and Application: 18th International Conference, ICIC 2022, Xi' an, China, August 7–11, 2022, Proceedings, Part II	De-Shuang Huang; Kang-Hyun Jo; Junfeng Jing; Prashan Premaratne; Vitoantonio Bevilacqua; Abir Hussain	1st ed. 2022	Springer International Publishing
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