The 4th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2020)

The 4th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2020)

Conference Date: July 17-19, 2020
Conference Venue: Kunming, China

The 4th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2020) will be held from July 17-19, 2020 in Kunming, China. The conference will cover issues on Advanced Control and Detection Technology, Artificial Neural Networks, Audio/Speech Recognition, Music Analysis, Multimedia Systems, Biometrics, Biomedical Pattern Analysis and Information Systems, Data/web Mining and Knowledge Discovery, Human-computer Interaction, etc. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods in related fields.  

If you wish to serve the conference as an invited speaker, please send email to us with your CV. We'll contact with you asap.

Publication and Presentation

Publication: Open Access Journal，please contact us for detailed information
Index: CNKI and Google Scholar
Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System.

Attendance Methods

1.Submit full paper (Regular Attendance+Paper Publication+Presentation)
You are welcome to submit full paper, all the accepted papers will be published by Open access journal.
2. Submit abstract (Regular Attendance+Abstract+Presentation)
3. Regular Attendance (No Submission Required) 

Conference Topics

Advanced Control and Detection Technology
Applications
Artificial Neural Networks
Audio/Speech Recognition, Music Analysis, Multimedia Systems
Biometrics, Biomedical Pattern Analysis and Information Systems
Classification and Clustering Techniques
Data/web Mining and Knowledge Discovery
Document Processing / Text and Graphics Recognition / Digital Libraries
Evolutionary Computation
Feature Selection / Dimensionality Reduction / Manifold Learning
Graph-based Techniques for Pattern Recognition
Human-computer Interaction
Intelligent and Fuzzy Control
Intelligent Computation Theory / Models and Algorithms for Intelligent Computation
Intelligent Computing / Soft Computing
Intelligent Robot Technology
Invariance in Pattern Recognition
Kernel Methods and Support Vector Machines
Knowledge Engineering, Cloud Computation, Intelligent Decision and Advanced Management
Natural Language Analysis / Information Retrieval
Pattern Recognition Algorithms/Systems
Raw Data Representation
Shape and Texture Analysis
Signal Analysis / Image Coding and Processing
Special Hardware Architectures and Software Packages / Embedded Systems
Statistical Machine Learning
Statistical Pattern Recognition
Structural and Syntactic Pattern Recognition
Web Intelligence and Technology
Other Related Topics