Description
Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.
Table of Contents
Tutorial And Overview Of Learning Approaches
Introduction to Random Tree and Random Forests for Fast Signal Processing and Object Classification
Wan-Chi Siu et al.
Sparsity Based Dictionary Learning Techniques
Raju Ranjan, Sumana Gupta, and K. S. Venkatesh
A Comprehensive Survey of Persistent Homology for Pattern Recognition
Zhen Zhou et al.
Low-Rank Matrix Estimation and Its Applications in Signal Processing and Machine Learning
Aimin Jiang and Hon Keung Kwan and Yanping Zhu
Introduction to Face Recognition and Its Recent Work
Tianrui Liu et al.
Filter Design And Multirate Signal Processing
The Ensemble Kalman Filter
Pedro A. M. Fonini and Paulo S. R. Diniz
Teaching Programming and Debugging Techniques for Multirate Signal Processing
Fred Harris and Chris Dick
Imaging Technologies
Learning Approaches for Super-Resolution Imaging
Wan-Chi Siu et al.
Non-Contact Three-Dimensional Measurement Using the Learning Approach
Daniel P. K. Lun and B. Budianto
Biometrics And Health Applications
Computational and Learning Aspects of DNA Sequences
Ngai-Fong Law
Visual Food Recognition for Dietary Logging and Health Monitoring
Sharmili Roy et al.
Motions In Videos, Pose Recognition And Human Activity Analysis
Learning Randomized Decision Trees for Human Behavior Capture
Zhen-Peng Bian et al.
Deep Learning in Gesture Recognition Based on sEMG Signals
P. Tsinganos et al.
Tutorial And Overview Of Learning Approaches
Introduction to Random Tree and Random Forests for Fast Signal Processing and Object Classification
Wan-Chi Siu et al.
Sparsity Based Dictionary Learning Techniques
Raju Ranjan, Sumana Gupta, and K. S. Venkatesh
A Comprehensive Survey of Persistent Homology for Pattern Recognition
Zhen Zhou et al.
Low-Rank Matrix Estimation and Its Applications in Signal Processing and Machine Learning
Aimin Jiang and Hon Keung Kwan and Yanping Zhu
Introduction to Face Recognition and Its Recent Work
Tianrui Liu et al.
Filter Design And Multirate Signal Processing
The Ensemble Kalman Filter
Pedro A. M. Fonini and Paulo S. R. Diniz
Teaching Programming and Debugging Techniques for Multirate Signal Processing
Fred Harris and Chris Dick
Imaging Technologies
Learning Approaches for Super-Resolution Imaging
Wan-Chi Siu et al.
Non-Contact Three-Dimensional Measurement Using the Learning Approach
Daniel P. K. Lun and B. Budianto
Biometrics And Health Applications
Computational and Learning Aspects of DNA Sequences
Ngai-Fong Law
Visual Food Recognition for Dietary Logging and Health Monitoring
Sharmili Roy et al.
Motions In Videos, Pose Recognition And Human Activity Analysis
Learning Randomized Decision Trees for Human Behavior Capture
Zhen-Peng Bian et al.
Deep Learning in Gesture Recognition Based on sEMG Signals
P. Tsinganos et
al. Measuring Precise Inter-Person Physiological Synchrony and Its Trends through Adaptive, Data-Driven Algorithms: Combining NA-MEMD and the Synchrosqueezing Transform to Identify Synchronised Respiratory and HRV Frequencies
Apit Hemakoma et al.
Language Processing, Cooperative Network And Communications
Multitask Cooperative Networks and their Diverse Applications
Saeid Sanei et al.
Spoken Language Processing: From Isolated Word Recognition to Neural Representation of Syntactical Structures, Based upon Kernel Memory
Tetsuya Hoya
Discussion On Ai For Healthcare
The Brave New World of Machine Paulina Chan and Stephen K. NgLearning in AI and Medicine
Paulina Chan and Stephen K. Ng
Measuring Precise Inter-Person Physiological Synchrony and Its Trends through Adaptive, Data-Driven Algorithms: Combining NA-MEMD and the Synchrosqueezing Transform to Identify Synchronised Respiratory and HRV Frequencies
Apit Hemakoma et al.
Language Processing, Cooperative Network And Communications
Multitask Cooperative Networks and their Diverse Applications
Saeid Sanei et al.
Spoken Language Processing: From Isolated Word Recognition to Neural Representation of Syntactical Structures, Based upon Kernel Memory
Tetsuya Hoya
Discussion On Ai For Healthcare
The Brave New World of Machine Learning in AI and Medicine
Paulina Chan and Stephen K. Ng
