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    MVML'19 2019 - The 5th International Conference on Machine Vision and Machine Learning

    View: 1951

    Website http://2019.mvml.org/ | Want to Edit it Edit Freely

    Category Machine Vision and Machine Learning

    Deadline: April 19, 2019 | Date: August 21, 2019-August 23, 2019

    Venue/Country: Lisbon, Portugal

    Updated: 2018-06-04 22:02:14 (GMT+9)

    Call For Papers - CFP

    MVML'19 is now accepting papers on the following topics through its OpenConf system. If you have a paper on an additional topic, please write an email to infoatmvml.org. The current topics include but are not limited to:

    Adaptive Systems

    Affective Computing

    Artificial Intelligence for Machine Vision

    Camera Calibration

    Data Mining for the Web

    Event Recognition

    Evolutionary Computing

    Face, Gesture, and Action Recognition

    Image/Video Processing

    Logistics

    Motion and Flow

    Neurocomputing

    Object Recognition

    Object Tracking

    Pattern Recognition

    Perception-based Studies for Image/Video Processing

    Person, Face, and Gesture Tracking

    Soft Computing for Machine Learning and Pattern Recognition

    Soft Computing for Machine Vision

    Statistical Methods and Learning

    Texture, Shape, and Colour

    Video Compression

    Video Content Analysis

    Vision and Learning in Robotics

    Manuscripts are invited for the 5th International Conference on Machine Vision and Machine Learning (MVML'19) on topics lying within the scope of the conference. All contributions must be original and should not have been published elsewhere.

    Three types of manuscripts could be published in the conference proceedings:

    Extended Abstracts

    Short Papers

    Full Papers


    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.