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    SIPML 2018 - The 4th International Workshop on Signal Processing and Machine Learning (SiPML 2018)

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    Website http://www.sipml.com.mx/default.html | Want to Edit it Edit Freely

    Category signal processing; machine learning; learning theory; cognitive information processing

    Deadline: August 10, 2018 | Date: October 27, 2018-October 29, 2018

    Venue/Country: Tunghai University, Taichung, Taiwan, Taiwan

    Updated: 2018-08-07 11:52:04 (GMT+9)

    Call For Papers - CFP

    The 4th International Workshop on Signal Processing and Machine Learning (SiPML 2018) is organized by Dr. Ricardo Rodriguez, Dr. Jolanta Mizera-Pietraszko from Autonomous University of Ciudad Juarez, and Opole University, respectively. SiPML will be held in Tunghai University, Taichung, Taiwan on Octorber 27-29, 2018, in conjunction with the main conference 13th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2018).

    The aim of the workshop is to contribute to the cross-fertilization between the research on Machine Learning (ML) methods and their application to Signal Processing (SP) to initiate collaboration between these areas. ML usually plays an important role in the transition from data storage to decision systems based on large databases of signals such as the obtained from sensor networks, internet services, or communication systems. These systems imply developing both computational solutions and novel models. Signals from real-world systems are usually complex such as speech, music, bio-medical, and multimedia, among others.

    1. Topics

    Topics of interest include (but not limited to):

    • Learning theory

    • Subspace/maniforld learning

    • Cognitive information processing

    • Bayesian and distributed learning

    • Neural networks

    • Smart Grid, games, social networks

    • Classification and pattern recognition

    • Computational Intelligence

    • Nonlinear signal processing

    • Data-driven adaptive systems

    • Graphical models and kernel methods

    • Data-driven models

    • Genomic signals and sequences

    • Multimodal data fusion

    • Multichannel adaptive signal processing

    • Multiset data analysis

    • Kernel methods and graphical models

    • Perceptual signal processing

    • Sparsity-aware learning

    • Applications (biomedical signals, biometrix, bioinformatics)

    2. Authors information

    Authors should submit a paper to the main conference with maximum 12 pages in length, including all figures, tables, and references. Workshop papers should be maximum 10 pages long. However, authors can have two extra pages with the appropriate fee payment.

    Prepare your paper in PDF file and submit it electronically to the 3PGCIC-2018 web page:

    http://edas.info/N24595

    If authors will not submit their FINAL VERSION papers and copyright form by the deadline, the papers will be automatically removed from conference proceedings. The maximum number of pages for conference papers of 3PGCIC-2018 conference is 12 pages. Workshop papers should be maximum 10 pages long. For each paper, at most TWO additional pages are allowed, but each additional page costs 100 Euros.

    3. Important dates

    Submission deadline: August 10, 2018

    Notification of Acceptance: August 15, 2018

    Camera-Ready Submission: September 1, 2018

    Author registration: September 1, 2018

    Workshop and main conference dates: October 27-29, 2018

    4. Web links

    Web page of 3PGCIC 2018: http://voyager.ce.fit.ac.jp/conf/3pgcic/2018/index.php

    Web page of SiPML 2018: http://www.sipml.com.mx/default.html

    5. Publication and indexing

    All accepted papers will be included in the conference proceedings of Lecture Notes in Data Engineering and Communication Technologies series published by Springer. Proceedings will be sent by Springer for indexing in EI and SCOPUS. ** Indexing: The books of this series are submitted to ISI Proceedings, MetaPress, Springerlink **. Currently, the books of this series are indexed in Web of Science.

    High quality papers accepted and presented at the SiPML 2018 workshop will be invited to submit their extended and revised papers to a special issue in the journal Machine Learning (others are pending of approval).

    6. Contact Information

    Dr. Ricardo Rodriguez Jorge

    Titular Professor/Researcher

    Engineering and Technology Institute

    Av. del Charro no. 450 Nte Col. Partido Romero, C.P. 32310

    Email: ricardo.jorgeatuacj.mx

    Personal web page: http://rodriguezricardo.net


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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