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    MLPRIS 2021 - The 4th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2021)

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    Category Machine Learning; Pattern Recognition; Intelligent Systems

    Deadline: June 16, 2021 | Date: July 16, 2021-July 18, 2021

    Venue/Country: Yunnan, China

    Updated: 2020-06-23 17:03:24 (GMT+9)

    Call For Papers - CFP

    The 4th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2021)

    Conference Date: July 16-18, 2021

    Conference Venue: Kunming, China


    Online Registration System:


    About Conference

    Important NOTE:

    Due to COVID-19 epidemic situation all over the world, most countries still maintain a strict policy of no-gathering, no-entering and leaving the country, and 14-days quarantine. We have to postpone the conference till July 16-18, 2021 in Kunming, China. Please visit the official website to get more details:

    The 4th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2021) will be held from July 16-18, 2021 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´╝îplease 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.

    Contact Us


    Tel: +86 132 6470 2250

    QQ: 1349406763, 3025797047

    WeChat: 3025797047

    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


    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

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.