2021 4th International Conference on Signal Processing and Machine Learning (SPML 2021)

2021 4th International Conference on Signal Processing and Machine Learning (SPML 2021) will be held in Beijing, China during 18-20 August, 2021.

This conference is meant for researchers from academia, industries and research & development organizations all over the globe interested in the areas of machine learning methods/ algorithms, signal processing theory and methods, data mining, artificial intelligence, optimization and applications to human brain disorders like epilepsy etc. Other applications of machine learning and signal processing techniques are also welcome. It will put special emphasis on the participations of PhD students, Postdoctoral fellows and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent progress and to share ideas on open questions. The conference will feature world-class keynote speakers in the main areas. Machine Learning usually plays an important role in the transition from data storage to decision systems based on large  databases of signals such as the obtained from sensor networks, internet services, or communication systems. These systems imply developing both computational solutions and novel models. Signals from real-world systems are usually complex such as speech, music, bio-medical, multimedia, among others. Thus, Signal Processing techniques are very useful for these type of systems to automate processing and analysis techniques to retrieve information from data storage.

The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission 
include, but are not limited to:

Adaptive Filtering & Signal Processing
Ad-Hoc and Sensor Networks
Analog and Mixed Signal Processing
Array Signal Processing
Audio and Electroacoustics
Audio/Speech Processing and Coding
Bioimaging and Signal Processing
Biometrics & Authentification
Biosignal Processing & Understanding
Communication and Broadband Networks
Communication Signal processing
Computer Vision & Virtual Reality
Cryptography and Network Security
Design and Implementation of Signal Processing Systems
Digital Signal Processing
DSP Implementations and Embedded Systems
Emerging Technologies
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
Machine Learning for Signal Processing
Modulation and Channel Coding
Multimedia & Human-computer Interaction
Multimedia Communications
Multimedia Signal Processing
Natural Language Processing
Next Generation Mobile Communications
Nonlinear Signal Processing
Optical Communications
Parallel and Distributed Processing
PDE for Image 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
Machine learning methods
Learning and adaptive control
Learning/adaption of recognition and perception
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Learning in process automation
Learning of appropriate behaviour
Learning of action patterns
Learning robots
Mining Images in Computer Vision
Mining Images and Texture
Mining Motion from Sequence
Neural Methods
Network Analysis and Intrusion Detection
Feature extractions
Support vector machines (SVM)
Least-squares SVM (LS-SVM)
Twin SVM (TWSVM)
Extreme learning machine (ELM)
Artificial neural network (ANN)
Classification techniques
Kernel design