"Low-Rank Matrix Estimation and Its Applications in Signal Processing and Machine Learning"

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Book	Author(s)	Year	Publisher
The generalized matrix product and its applications in signal processing	Huixia Zhu	1993
Financial Signal Processing and Machine Learning	Ali N. Akansu; Sanjeev R. Kulkarni; Dmitry M. Malioutov	2016	Wiley-IEEE Press
Signal Processing Theory and Machine Learning	Paulo S.R. Diniz, Johan A.K. Suykens, Rama Chellappa and Sergios Theodoridis (Eds.)	2014	Academic Press
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead	Sudeep Tanwar; Anand Nayyar; Rudra Rameshwar	2021	Routledge
Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing	Thierry Bouwmans; Necdet Serhat Aybat; El-hadi Zahzah	2016	Routledge
Signal Processing and its Applications	N.K. Bose and C.R. Rao	1993	Elsevier
Signal processing and machine learning for brain-machine interfaces	Tanaka, Toshihisa(Editor); Arvaneh, Mahnaz(Editor)	2018	The Institution of Engineering and Technology
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications	Omar Oreifej; Mubarak Shah	2014	Springer International Publishing
Radar Signal Processing and Its Applications	Jian Li; Robert Hummel; Petre Stoica; Edmund G. Zelnio	2003	Springer US
EEG Signal Processing and Machine Learning Second Edition	Saeid Sanei	2021	John Wiley & Sons
Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Matrix and Tensor Decompositions in Signal Processing	Gérard Favier	2021	John Wiley & Sons
Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing	Saurabh Prasad; Jocelyn Chanussot	1st ed. 2020	Springer International Publishing
Complex-Valued Matrix Derivatives: With Applications in Signal Processing and Communications	Are Hjørungnes	2011-02	Cambridge University Press
Machine Learning Methods for Signal, Image and Speech Processing	Kantipudi MVV Prasad; Sheng-Lung Peng; Mamun Bin Ibne Reaz; Ana Maria Madureira; M. A. Jabbar	2021	River Publishers
Signal Processing and Machine Learning for Biomedical Big Data	Ervin Sejdić; Tiago H. Falk	2018	Routledge
Statistical Signal Processing: Modelling and Estimation	T. Chonavel	2002	Springer London
Least square estimation with applications to digital signal processing	Arthur A. Giordano	1985	Wiley
Statistical Signal Processing: Frequency Estimation	Debasis Kundu; Swagata Nandi	2012	Springer India
Statistical Signal Processing: Frequency Estimation	Swagata Nandi; Debasis Kundu	2nd ed. 2020	Springer Nature Singapore
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Low-Rank Matrix Estimation and Its Applications in Signal Processing and Machine Learning	Aimin Jiang; Hon Keung Kwan; Yanping Zhu	Learning Approaches in Signal Processing	Wan-Chi Siu; Lap-Pui Chau; Liang Wang; Tieniu Tang	2018	Routledge
Machine learning in biomedical signal processing with ECG applications	Bashar Rajoub	Biomedical Signal Processing and Artificial Intelligence in Healthcare	Walid Zgallai	2020	Academic Press
Digital Signal Processing and Machine Learning	Yuanqing Li; Kai Keng Ang; Cuntai Guan	Brain-Computer Interfaces: Revolutionizing Human-Computer Interaction	Bernhard Graimann; Brendan Z. Allison; Gert Pfurtscheller	2011	Springer Berlin Heidelberg
Applications of Low-Rank and Sparse Matrix Decompositions in Hyperspectral Video Processing	Thierry Bouwmans; Necdet Serhat Aybat; El-hadi Zahzah	Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing	Thierry Bouwmans; Necdet Serhat Aybat; El-hadi Zahzah	2016	Routledge
Superresolution signal processing and its applications	T. J. Abatzoglou	Radar/ladar processing and applications: 13-14 July, 1995, San Diego, California /	Miceli, William J.	[1995], ©1995.	SPIE,
Machine learning and its applications	Vinay Arora; Eddie Yin-Kwee Ng; Arshdeep Singh	Smart Electrical and Mechanical Systems	Anuradha Tomar; Mukund Sharma; Neeraj Gupta; Rakesh Sehgal andVigna Kumaran	2022	Academic Press
Extreme Learning Machine and Its Applications in Big Data Processing	Cen Chen; Kenli Li; Mingxing Duan; Keqin Li	Big Data Analytics for Sensor-Network Collected Intelligence	Hui-Huang Hsu; Chuan-Yu Chang and Ching-Hsien Hsu	2017	Academic Press
Introduction to Signal Processing and Machine Learning	Kavitha Somaraj	Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead	Sudeep Tanwar; Anand Nayyar; Rudra Rameshwar	2021	Routledge
Data analytics, signal processing, and machine learning		Wearable Sensors (Second Edition)	Edward Sazonov	2020	Academic Press
Nonparametric Bayesian machine learning and signal processing		Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics	Max A. Little	2019	Oxford University Press
Machine learning for biomedical signal processing	Vandana Patel; Ankit K. Shah	Machine Learning and the Internet of Medical Things in Healthcare	Ahmed Elngar; Akansha Singh; Krishna Singh andMohamed Elhoseny	2021	Academic Press
From Signal Processing to Machine Learning		Digital Signal Processing with Kernel Methods	José Luis Rojo-Álvarez; Manel Martínez-Ramón; Jordi Muñ; oz-Marí; ; Gustau Camps-Valls	2018	Wiley-IEEE Press
Low-Rank Matrix Recovery	Angshul Majumdar	Compressed Sensing for Engineers	Angshul Majumdar	2018	Routledge
Low-Rank Matrix Completion		Fundamentals of Matrix Computations	Olga Moreira (editor)	2020	Arcler Press
Low-Rank Matrix Factorization		Network Embedding Theories, Methods and Applications	Cheng Yang, Zhiyuan Liu, Cunchao Tu, Chuan Shi, Maosong Sun	2020	Morgan & Claypool Publishers
Applications in Signal Processing	Phil Mars; J.R. Chen; Raghu Nambiar	Learning Algorithms: Theory and Applications in Signal Processing, Control and Communications	P. Mars	1996	Routledge
Applications in Signal Processing	Khalil Ahmad; Abdullah	Wavelet Packets and Their Statistical Applications	Khalil Ahmad; Abdullah	1st ed. 2018	Springer Nature Singapore
Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning	Tong Sang; Hongyao Tang; Jianye Hao; Yan Zheng; Zhaopeng Meng	Distributed Artificial Intelligence: Third International Conference, DAI 2021, Shanghai, China, December 17–18, 2021, Proceedings	Jie Chen; Jérôme Lang; Christopher Amato; Dengji Zhao	1st ed. 2022	Springer International Publishing
Statistical Machine Learning and Its Applications	Hoang Pham	Statistical Reliability Engineering: Methods, Models and Applications	Hoang Pham	1st ed. 2022	Springer International Publishing
Matrix Completion and Low-Rank Matrix Recovery	Robert Qiu; Michael Wicks	Cognitive Networked Sensing and Big Data	Robert Qiu; Michael Wicks	2014	Springer New York
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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