SPML 2021 information: 

1. SPML 2021 is supported by ACM Singapore Chapter.

2. Accepted papers will be published in the Conference Proceedings by ACM (ISBN: 978-1-4503-9017-0), which will be indexed by EI Compendex, Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

3. Prof. Yongfeng Huang from Tsinghua University in China, Prof. Shigeru Katagiri from Doshisha University in Japan, Prof. Chin-Chen Chang from Feng Chia University in Taiwan and Prof. Yen-Wei Chen from Ritsumeikan University in Japan will be the keynote speakers

4. SPML 2018 was held on 28-30 November 2018 in Shanghai, China and SPML 2019 on 27-29 November 2019 in Hangzhou, China, all the published proceedings have been indexed by EI Compendex, Scopus. Due to the COVID-19 pandemic, SPML 2020 was special arranged into online conference during Oct. 22-24 , 2020.

Conference Venue

Beijing, China

Submission and Contact Methods

Submission Methods: Easy Chair System: http://www.easychair.org/conferences/?conf=spml2021

E-mail: [email protected]

Conference Specialist: Mr. Paul Choo

SPML 2021 can provide a better platform for academic communication in Signal Processing and Machine Learning in theoretical and practical aspects.

For more conference information, please visit the conference website: http://www.spml.net

CFP:

Adaptive Filtering & Signal Processing 

Analog and Mixed Signal Processing

Array Signal Processing

Audio and Electroacoustics 

Bioimaging and Signal Processing

Communication Signal processing

Computer Vision & Virtual Reality

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

Next Generation Mobile Communications

Nonlinear Signal Processing 

Optical Communications

Parallel and Distributed Processing

PDE for Image Processing

Signal Processing for Security

Signal Processing Theory and Method

Machine learning methods

Learning and adaptive control

Learning for Handwriting Recognition

Learning robots

Mining Images in Computer Vision

Mining Motion from Sequence

Neural Methods

Feature extractions

Support vector machines (SVM)

Extreme learning machine (ELM)

Artificial neural network (ANN)

Classification techniques