Call for Papers

Please download the CFP flyer here (Click here)

WSPML solicits original, unpublished and novel papers for research publication and presentation in research track, and industry/application papers in application track.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:

Topic 1. Signal, Image and Video Processing

Topic 2. BioMedical Engineering, Bioinformatics, 

Systems Biology and Medical Informatics

Digital Signal Processing

Feature Extractions

Image and Multidimensional Signal Processing

Image Processing & Understanding

Image/Video Processing and Coding

Learning in Image Pre-Processing and Segmentation

Mining Images and Texture

PDE for Image Processing

Mining Images in Computer Vision

Computer Vision & Virtual Reality

Natural Language Processing

Mining Motion from Sequence

Audio/Speech Processing and Coding

Multiset Data Analysis

Multimodal Data Fusion

Graphical Models and Kernel Methods

Image Restoration

Biomedical Optics

Bioimaging and Signal Processing

Biometrics & Authentification

Biosignal Processing & Understanding

Genomic Signals and Sequences

Biomedical Imaging

Biomedical Signal Processing and Analysis

Biomedical Modeling

Medical Data Storage and Compression Techniques

Biomedicine in Industry and Society

Applications of Artificial Intelligence and Data Mining in Bioinformatics

Synergy between Bioinformatics and Medical Informatics

Standards and Ontology in Biomedical Informatics

Mobile and Wireless Technologies in Healthcare Systems

Healthcare Information Systems

Biomedical Robotics and Mechanics

Wearable and Real-Time Health Monitoring Systems

Topic 3. Deep Learning, Machine Learning, Pattern Recognition, 

Artificial Intelligence

Topic 4. Informatics

Learning Theory

Learning Robots

Artificial Neural Network (ANN)

Learning/Adaption of Recognition and Perception

Least-squares SVM (LS-SVM)

Machine Learning for Signal Processing

Machine Learning Methods

Kernel Design

Kernel Methods and Graphical Models

Learning and Adaptive Control

Learning for Handwriting Recognition

Learning in Process Automation

Learning of Action Patterns

Learning of Appropriate Behavior

Neural Methods

Neural Networks

Sparsity-Aware Learning

Subspace/Manifold Learning

Support Vector Machines (SVM)

Learning for Handwriting Recognition


Network Analysis and Intrusion Detection

Bayesian and Distributed Learning

Classification and Pattern Recognition

Classification Techniques

Data-Driven Adaptive Systems

Data-Driven Models

Extreme Learning Machine (ELM)

Higher Order Spectral Analysis

Internet Signal Processing

Next Generation Mobile Communications

Rapid Prototyping and Tools for DSP Design 

RF and Wireless Communications

Sensor Array and Multi-channel Processing

Signal Processing for Communications

Signal Processing for Security

Signal Processing Theory and Methods

Optical Communications

Parallel and Distributed Processing

Perceptual Signal Processing

Radar Signal Processing

Adaptive Filtering & Signal Processing

Ad-Hoc and Sensor Networks

Analog and Mixed Signal Processing

Multichannel Adaptive Signal Processing

Array Signal Processing

Modulation and Channel Coding

Audio and Electroacoustics

Multimedia Signal Processing

Multimedia & Human-Computer Interaction

Cognitive Information Processing

Communication and Broadband Networks

Design and Implementation of Signal Processing Systems

DSP Implementations and Embedded Systems

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Conference Secretary: Ms. Riva Huang


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