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    MVML'18 2018 - 4th International Conference on Machine Vision and Machine Learning

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

    Category MVML'18 2018

    Deadline: April 04, 2018 | Date: August 21, 2018-August 23, 2018

    Venue/Country: Madrid, Spain

    Updated: 2018-02-10 06:13:40 (GMT+9)

    Call For Papers - CFP

    The 4th International Conference on Machine Vision and Machine Learning (MVML'18) aims to become the leading annual conference in fields related to machine vision and machine learning. The goal of MVML'18 is to gather scholars from all over the world to present advances in the relevant fields and to foster an environment conducive to exchanging ideas and information. This conference will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of the mentioned fields.

    All accepted and presented papers will be published in the conference proceedings, under an ISBN reference in a USB drive. The online version of the proceedings will also be published under an ISSN reference and each paper in the proceedings will be assigned unique DOIs by CrossRef.

    MVML is an acronym for Machine Vision and Machine Learning.

    To view the website for the previous event in this conference series, please visit: www.2016.mvml.org

    MVML'18 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 4th International Conference on Machine Vision and Machine Learning (MVML'18) 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

    You may choose to submit any of the above based on the the weight of the contributions in your manuscript.

    Extended abstracts are welcome for publication. These submissions should be around 500 words and must give a clear indication of the objectives, scope, and results (if available) of the research. No figures or tables are allowed. Presentation for these submissions are limited to 10 minutes (if oral) or poster.

    Short papers must give a clear indication of the objectives, scope, and results of the paper, and must (at least) contain an abstract, an introduction, a results/discussion section, and a reference section. Short papers are limited to 4 pages. Presentation for these submissions are limited to 20 minutes (if oral) or poster.

    Full Papers are limited to 8 pages and are more descriptive of the work that has been done. Also, more sections, images, graphs, and results could be presented. Presentation for these submissions are limited to 20 minutes (if oral) or poster.


    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.