Learning approaches in signal processing. (2018)

• Record Type: Book
• Further Information: Note: Edited by Wan-Chi Siu, Lap-Pui Chau, Liang Wang, Tieniu Tang.
• Authors: Ring, Francis
• Editors: Siu, Wan-Chi; Chau, Lap-Pui; Wang, Liang, 1975-; Tang, Tieniu
• 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
• Edition: 1st
• Publisher Details: Singapore : Pan Stanford Publishing
• Publication Date: 2018
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 005.7; Big data; Signal processing; Machine learning
• Languages: English
• ISBNs: 9780429590320; 9780429592263; 9780429588389; 9780429061141
• Related ISBNs: 9789814800501
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.