WSPML 2020 : 2nd International Workshop on Signal Processing and Machine Learning

WSPML 2019 solicits original, unpublished and novel papers for research publication and presentation in research track, and industry/application papers in application track. Articles in all areas of Signal Processing and Machine Learning are of interest, including the following:

• Adaptive Filtering & Signal Processing 
• Ad-Hoc and Sensor Networks
• Analog and Mixed Signal Processing
• Applications (biomedical signals, biometrix, bioinformatics)
• Multichannel adaptive signal processing
• Array Signal Processing
• Artificial neural network (ANN)
• Modulation and Channel Coding
• Audio and Electroacoustics 
• Natural Language Processing
• Mining Motion from Sequence
• Audio/Speech Processing and Coding
• Bayesian and distributed learning
• Bioimaging and Signal Processing 
• Mining Images in Computer Vision
• Biometrics & Authentification
• Biosignal Processing & Understanding
• Multimedia Signal Processing 
• Classification and pattern recognition
• Multimedia & Human-computer Interaction
• Classification techniques
• Cognitive information processing
• Communication and Broadband Networks
• Communication Signal processing
• Multiset data analysis
• Computational Intelligence
• Computer Vision & Virtual Reality
• Cryptography and Network Security
• Data-driven adaptive systems
• Data-driven models
• Design and Implementation of Signal Processing Systems 
• Multimedia Communications
• Digital Signal Processing 
• DSP Implementations and Embedded Systems 
• Multimodal data fusion
• Emerging Technologies 
• Extreme learning machine (ELM)
• Feature extractions
• Genomic signals and  sequences
• Graphical models and kernel methods
• Hardware Implementation for Signal Processing
• Higher Order Spectral Analysis
• Image and Multidimensional Signal Processing 
• Image Processing & Understanding
• Image/Video Processing and Coding
• Industry Technology 
• Internet Signal Processing
• Kernel design
• Kernel methods and graphical models
• Learning and adaptive control
• Learning for Handwriting Recognition
• Learning in Image Pre-Processing and Segmentation
• Learning in process automation
• Learning of action patterns
• Learning of appropriate behaviour
• Learning robots
• Learning theory
• Learning/adaption of recognition and perception
• Least-squares SVM (LS-SVM)
• Machine Learning for Signal Processing
• Machine learning methods
• Mining Images and Texture
• Network Analysis and Intrusion Detection
• Neural Methods
• Neural networks
• Next Generation Mobile Communications
• Nonlinear signal processing
• Nonlinear Signal Processing 
• Optical Communications
• Parallel and Distributed Processing
• PDE for Image Processing
• Perceptual signal processing
• Radar Signal Processing 
• Rapid Prototyping and Tools for DSP Design 
• RF and Wireless Communications
• Sensor Array and Multi-channel Processing
• Signal Processing and Communications Education
• Signal Processing for Communications
• Signal Processing for Security
• Signal Processing Theory and Methods
• Smart Grid, games, social networks
• Sparsity-aware learning
• Subspace/maniforld learning
• Support vector machines (SVM)
• Twin SVM (TWSVM)