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Sun, 16 Jul 2017 13:23:23 -0700
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Dear Researcher,

You are cordially invited to participate in The 3rd International Workshop
on Signal Processing and Machine Learning (SiPML 2017) organized by Dr.
Ricardo Rodriguez, Dr. Jolanta Mizera-Pietraszko from Autonomous University
of Ciudad Juarez, and Opole University, respectively. 

SiPML will be held in Open University of Catalonia, Barcelona, Spain on
November 8-10, 2017, in conjunction with the main conference 12th
International Conference on P2P, Parallel, Grid, Cloud and Internet
Computing (3PGCIC 2017).

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-2017 web page: 
http://edas.info/N23425
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-2017 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:	July 31, 2017 (HARD)
Notification of Acceptance:	August 25, 2017
Camera-Ready Submission:	September 10, 2017
Author registration:  	September 10, 2017
Workshop and main conference dates:   	November 8-10, 2017
 
4.    Web links
Web page of 3PGCIC 2017:              
http://voyager.ce.fit.ac.jp/conf/3pgcic/2017/index.php
Web page of SiPML 2017:                 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 2017 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).
 
Machine Learning Journal is ABSTRACTED/INDEXED IN: Science Citation Index,
Science Citation Index Expanded (SciSearch), Journal Citation
Reports/Science Edition, SCOPUS, PsycINFO, INSPEC, Zentralblatt Math, Google
Scholar, CSA, Academic OneFile, ACM Digital Library, Computer Abstracts
International Database, Computer Science Index, CSA Environmental Sciences,
Current Contents/Engineering, Computing and Technology, DBLP, Earthquake
Engineering Abstracts, EBSCO Applied Science & Technology Source, EBSCO
Discovery Service, EI-Compendex, Gale, io-port.net, Mathematical Reviews,
OCLC, OmniFile, PASCAL, PSYCLINE, Referativnyi Zhurnal (VINITI), Science
Select, SCImago, Summon by ProQuest.

6.    Contact Information
Dr. Ricardo Rodriguez Jorge
Full Time Professor
Engineering and Technology Institute
Av. del Charro no. 450 Nte Col. Partido Romero, C.P. 32310
Email: [log in to unmask]
Personal web page: http://rodriguezricardo.net





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