[UAI] Fwd: [CFP] [Deadline Extension] CVPR'17 workshop on Tensor Methods in Computer Vision (TMCV 2017)

[Anoop Cherian]

Dear Colleagues,
(Apologies for cross-postings) Due to several requests, the submission
deadline for TMCV 2017 is being extended from 1st April 2017 to 20th April
2017. Please find below other submission details.


***
Tensor Methods in Computer Vision (TMCV), CVPR 2017 Workshop

***

Webpage: http://users.cecs.anu.edu.au/~koniusz/tensors-cvpr17/
Submission Deadline : April 20, 2017 (extended from 1st April 2017)

Tensors have been a crucial mathematical object for several applications in
computer vision and machine learning. It has been an essential ingredient
in modelling latent semantic spaces, higher-order data factorization, and
modelling higher-order information in visual data, and has found numerous
applications in several hot topics in computer vision including, but not
limited to human action recognition, object recognition, and video
understanding. Moreover, tensor-based algorithms are increasingly finding
significant applications in deep learning. With the rise of big data,
tensors may yet prove crucial in both understanding deep architectures, as
well as, may aid robust learning and generalization in inference
algorithms. This workshop aims at promoting discussions among researchers
investigating innovative tensor-based approaches to computer vision
problems.

In this workshop, we solicit original contributions that address a wide
range of theoretical and practical issues including, but not limited to:
* Tensor methods in deep learning
* Supervised learning in computer vision
* Riemannian geometry and SPD matrices
* Unsupervised feature learning and multimodal representations
* Tensors in low-level feature design
* Mid-level representations with tensor methods
* Low-rank factorisation methods and denoising approaches
* Latent topic models using tensor methods
* Tensors in optimization and dictionary learning
* Tensor hardware architectures
* Advancements in multi-linear algebra
* Applications of tensors for:
** image/video recognition
** object recognition
** scene understanding
** industrial and medical applications

Accepted papers will be allocated 5 minute spotlights and will appear in
the IEEE Workshop proceedings of CVPR 2017.

Workshop Details:
Webpage: http://users.cecs.anu.edu.au/~koniusz/tensors-cvpr17/
Workshop Schedule: 26th July 2017
CVPR’17 homepage: http://cvpr2017.thecvf.com/
Location: Honolulu, Hawaii, USA

Important dates:
Submission Deadline : 20th of April, 2017
Decision to Authors: 1st of May, 2017
Camera Ready   : 8th of May, 2017
TMCV Workshop: 26th of July, 2017

Paper Formatting Guidelines:
Please follow the general submission guidelines available at
http://cvpr2017.thecvf.com/submission/main_conference/author_guidelines.
Please use the LaTeX templates available there with enabled ruler (review
mode). The papers can be at most 8 pages long. We allow papers from ArXiv
to be submitted if they had not appeared in proceedings of any other
conferences, unless they were less or equal to 4 pages in size. The review
process will be double-blind.

Paper Submission Site: https://cmt3.research.mi
crosoft.com/User/Login?ReturnUrl=%2FTMCV2017

Confirmed list of Speakers:
Dr. Andrzej Cichocki (Brain Science Institute RIKEN)
Prof. Animashree Anandkumar (University of California, Irvine)
Dr. Ivan Oseledets (Skolkovo Institute of Science and Technology)
Dr. Lieven De Lathauwer (KU Leuven)
Dr. Lior Horesh (IBM T.J. Watson Research Center and Columbia University)
Prof. Luc Florack (Eindhoven University of Technology)
Dr. M. Alex O. Vasilescu (Massachusetts Institute of Technology)
Nadav Cohen (Hebrew University)
Prof. René Vidal (Johns Hopkins University)
Prof. Richard Hartley (Australian National University)

Organizing Committee:
Dr. Piotr Koniusz (Data61/Australian National University)
Dr. Anoop Cherian (Australian National University)
Prof. Fatih Porikli (Australian National University)

Best Regards,
Anoop, Piotr, and Fatih (organizers)

Research Fellow,
Australian Centre for Robotic Vision,
115 North Road,
Australian National University,
Canberra, Australia 2601
homepage: http://users.cecs.anu.edu.au/~cherian/
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[UAI] NIPS 2017 Call for Papers

[Lee Campbell]

NIPS 2017
Long Beach Convention Center, Long Beach
Monday December 04 -- Saturday December 09, 2017
http://nips.cc/Conferences/2017

Call for Papers

Deadline for Paper Submissions:
Fri May 19, 2017 20:00 PM UTC
Fri May 20, 2016 09:00 AM pacific daylight time



Submit at: https://cmt.research.microsoft.com/NIPS2017/



Submissions are solicited for the Thirty-First Annual Conference on Neural
Information Processing Systems (NIPS 2017), an interdisciplinary conference
that brings together researchers in all aspects of neural and statistical
information processing and computation, and their applications.


Submission instructions:

https://nips.cc/Conferences/2017/PaperInformation/AuthorSubmissionInstructions

All submissions will be made in PDF format. Papers are limited to eight
pages, including figures and tables, in the NIPS style. Additional pages
containing only cited references are allowed. Camera-ready papers will be
due in advance of the conference; however, authors will be allowed to make
minor changes, such as fixing typos and adding additional references, for a
certain period of time after the conference.


Supplementary Material: Authors can submit up to 100 MB of material,
containing proofs, additional details, data, or source code. Looking at any
supplementary material is up to the discretion of the reviewers.


Reviewing: Reviewing will be double-blind: the reviewers will not know the
identities of the authors. It is the responsibility of the authors to
ensure the proper anonymization of their paper. The reviews and
meta-reviews of accepted papers will be made publicly available.


Evaluation Criteria: Submissions that violate the NIPS style guide or page
limits, are not within the scope of NIPS (see technical areas below), or
have already been published elsewhere (see dual submission policy below)
may be rejected by the area chairs without further review. Submissions that
have fatal flaws revealed by the reviewers, including (without limitation)
incorrect proofs or flawed or insufficient wet-lab, hardware, or software
experiments, may be rejected on that basis, without taking into
consideration other criteria. Submissions that satisfy the previous
requirements will be judged on the basis of their technical quality,
novelty, potential impact, and clarity. Typical NIPS papers often (but not
always) include a mix of algorithmic, theoretical, and experimental
results, in varying proportions. While theoretically grounded arguments are
certainly welcome, it is counterproductive to add “decorative maths” whose
only purpose is to make the paper look more substantial or even
intimidating, without adding relevant insights. Algorithmic contributions
should have at least an illustration of how the algorithm can eventually
materialize into a machine learning application.


Technical Areas: Papers are solicited on all aspects of neural and
statistical information processing and computation, and their applications,
including, but not limited to:


   1.

   Algorithms: Active Learning, Bandit Algorithms, Boosting and Ensemble
   Methods, Classification, Clustering, Collaborative Filtering, Components
   Analysis (e.g., CCA, ICA, LDA, PCA), Density Estimation, Dynamical Systems,
   Hyperparameter Selection, Kernel Methods, Large Margin Methods, Metric
   Learning, Missing Data, Model Selection and Structure Learning, Multitask
   and Transfer Learning, Nonlinear Dimensionality Reduction and Manifold
   Learning, Online Learning, Ranking and Preference Learning, Regression,
   Reinforcement Learning, Relational Learning, Representation Learning,
   Semi-Supervised Learning, Similarity and Distance Learning, Sparse Coding
   and Dimensionality Expansion, Sparsity and Compressed Sensing, Spectral
   Methods, Stochastic Methods, Structured Prediction, and Unsupervised
   Learning.
   2.

   Probabilistic Methods: Bayesian Nonparametrics, Bayesian Theory, Belief
   Propagation, Causal Inference, Distributed Inference, Gaussian Processes,
   Graphical Models, Hierarchical Models, Latent Variable Models, MCMC, Topic
   Models, and Variational Inference.
   3.

   Optimization: Combinatorial Optimization, Convex Optimization,
   Non-Convex Optimization, and Submodular Optimization.
   4.

   Applications: Audio and Speech Processing, Computational Biology and
   Bioinformatics, Computational Social Science, Computer Vision, Denoising,
   Dialog- and/or Communication-Based Learning, Fairness Accountability and
   Transparency, Game Playing, Hardware and Systems, Image Segmentation,
   Information Retrieval, Matrix and Tensor Factorization, Motor Control,
   Music Modeling and Analysis, Natural Language Processing, Natural Scene
   Statistics, Network Analysis, Object Detection, Object Recognition, Privacy
   Anonymity and Security, Quantitative Finance and Econometrics, Recommender
   Systems, Robotics, Signal Processing, Source Separation, Speech
   Recognition, System

[UAI] SLIOIA ASAI SIO 2017. Call for Papers

[Lluis Godo]

---


Call for Papers

43 CLEI/46 JAIIO

Organized by FRC-UTN, SADIO, CLEI

September 4th-8th, 2017

Córdoba, Argentina

SLIOIA- Latin American Symposium on Operations Research & Artificial
Intelligence (CLEI)

ASAI - Argentine Symposium on Artificial Intelligence (JAIIO)

SIO - Argentine Symposium on Operations Research (JAIIO)

(Para versión en español ver más abajo)

CLEI and SADIO co-organize this event that aims at bringing together the
Artificial Intelligence and Operations Research communities of Latin
America in general and Argentina in particular in a forum to discuss ideas,
experiences and research results among educators, researchers, students and
industry representatives. The event is part of the 43 CLEI/46 JAIIO. It
will take place in the Facultad Regional de Córdoba of Universidad
Tecnológica Nacional from September 4th to September 8th 2017, with the
collaboration of the Argentinean Association of Artificial Intelligence
(AAIA). The event seeks for original contributions in the areas of
Artificial Intelligence and Operations Research, including academic
research as well as influential industrial and business applications that
yield lessons learned from their development.

In order to bring the academic and professional sectors together,
companies, professionals, educators and researchers are invited and
encouraged to contribute with submissions following the traditional
research work format as well as with concrete applications, case studies,
specific tools, technology transfer activities and practical research
experience reports related to the themes of the symposia. This type of work
can be submitted in any of the modalities mentioned below.

Topics of interest:

Suggested, but not exclusive, topics of interest for submissions include:

ASAI-SLIOIA

- Intelligent agents and multi-agent systems

- Smart environments

- Machine learning

- Automated reasoning

- Knowledge representation

- Bio-inspired computing

- Natural language processing and linguistic computing

- Artificial neural networks

- Fuzzy logic

- Expert systems and knowledge-based systems

- Artificial life

- Pattern recognition

- Artificial intelligence in data analysis

- Clustering

- Artificial vision

- Data mining

- Decision support system

- Formal and empirical aspects of artificial intelligence

- Computer interaction

- Personalization and recommendation systems

- Planning and scheduling

- Robotics

- Innovative applications of artificial intelligence: big-data,
bioinformatics and biological computing, education, social networks,
virtual reality, etc.

SIO-SLIOIA

- Multi-criteria analysis

- Applications to production scheduling

- Operational research applications and related disciplines

- Economic-financial applications

- Applications in environmental management

- Supply chain

- Heuristics

- Stochastic optimization

- Combinatorial optimization

- Nonlinear optimization

- Planning and scheduling

- Stochastic processes

- Dynamic programming

- Integer programming

- Linear and nonlinear programming

- Simulation

- Queueing theory

- Graph theory

- Game theory

Important dates:

Submission deadline: April 14, 2017

Notification of acceptance: June 20, 2017

Deadline for submission of camera-ready papers and author registration:
July 25, 2017

Conference dates: September 4-8, 2017

Submission modalities:

We invite three different submission modalities:


ASAI. The evaluation will follow the same standards of previous ASAI.
Accepted papers will be published in the symposium proceedings. The best
papers from ASAI will be invited to a special issue of SADIO Electronic
Journal (Latindex).


SIO. The evaluation will follow the same standards of previous SIO. The
best papers from SIO will be invited to a special issue of SADIO Electronic
Journal (Latindex).


SLIOIA. The evaluation will follow the same standards of previous SLIOIA.
The papers that are accepted and presented at SLIOIA will be indexed and
published by IEEExplore digital library. The best theoretical papers
submitted to SLIOIA will be invited to a special issue of Electronic Notes
in Theoretical Computer Science (Scopus), while the best non-theoretical
papers will be invited to a special issue of CLEI Electronic Journal
(Latindex, Scielo, DBLP, DOAJ).


Submissions can be made through the SADIO's OCS system (
http://sgc.sadio.org.ar/sgc/index.php).

To submit your proposal use the following links:

SLIOIA- Latin American Symposium on Operations Research & Artificial
Intelligence (CLEI): http://sgc.sadio.org.ar/sgc/
index.php/46JAIIO/SLIOIA2017/index

ASAI - Argentine Symposium on Artificial Intelligence (JAIIO):
http://sgc.sadio.org.ar/sgc/index.php/46JAIIO/ASAI2017/index

SIO -  Argentine Symposium on Operations Research (JAIIO):
http://sgc.sadio.org.ar/sgc/index.php/46JAIIO/SIO2017/index


Submission format:

All co

[UAI] Postdoctoral position in robotics and AI at ISIR, UPMC, Paris, France

[Alexandre Coninx]

Postdoc position in robotics and AI at ISIR, UPMC, Paris, France


Main topic: Robot state representation learning for skill acquisition

Duration: Funding available for 18 months, starting 1st June, or as soon
as possible thereafter.


Position profile


The goal of this project is to investigate the ways through which a
robot can autonomously build state representations of sensory data which
support the learning of sensorimotor and cognitive skills.

Applicants should hold a PhD in AI or a related field, have a strong
experience in machine learning (dimensionality reduction, deep learning,
bayesian learning), good programming skills and an interest in robotics.
A significant experience in robotics programming is a plus. Speaking or
understanding French is not required.


Context
---

The position will be located in the Institute of Intelligent Systems and
Robotics (ISIR, http://www.isir.upmc.fr), Paris, France. ISIR belongs to
the UPMC-Sorbonne Universités which is among the top ranked French
universities. ISIR is located in the center of Paris, thus at walking
distance from the Seine river, from other academic institutions (Ecole
Normale Supérieure, La Sorbonne, Collège de France, Muséum d'Histoire
Naturelle, Université Paris Descartes, Hôpital la Pitié Salpétrière),
and from famous monuments (Notre Dame, Le Panthéon, le Théâtre du
Châtelet, Institut du Monde Arabe).

This research is funded by the SMART Labex project
(http://www.smart-labex.fr/) linked to the ongoing DREAM european
project (http://www.robotsthatdream.eu/), which is led by ISIR and
focuses on the bootstrap of a developmental process allowing a robot to
learn about its environment and the objects it contains. It also
involves collaboration with LIP6 (https://www.lip6.fr - also at UPMC), a
leading French computer science lab. The position involves robotics
experiments that will be done on Baxter and PR2 robots.


Instructions


To apply, please send a CV, a motivation letter and the contact details
of 2 to 3 references to Stéphane Doncieux 
and Alexandre Coninx  with [Postdoc
application] in the subject of the mail.


-- 
Alexandre Coninx - http://people.isir.upmc.fr/coninx/
Maître de conférences (assistant professor) - UPMC ISIR, AMAC team
+33 6 52 70 53 42



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[UAI] CFP: Firm deadline 31 March: IEEE Int. Conferences (CYBCONF, I-SPAN, FCST, ISCC) in England, UK, 21-23 June 2017

[Haozhe Wang]

[Please accept our apologies if you receive multiple copies of this email]



*** IEEE CYBCONF-2017, I-SPAN-2017, FCST-2017, ISCC-2017 International
Conferences ***



To be held in Exeter, England, UK, 21-23 June 2017.



The 3rd IEEE International Conference on Cybernetics (CYBCONF-2017)

http://cse.stfx.ca/~CybConf2017



The 14th International Symposium on Pervasive Systems, Algorithms, and
Networks (I-SPAN 2017) http://cse.stfx.ca/~ISPAN2017/



The 11th International Conference on Frontier of Computer Science and
Technology (FCST-17) http://cse.stfx.ca/~FCST2017/



The 3rd International Symposium on Creative Computing (ISCC-2017)
http://cse.stfx.ca/~iscc2017



*** The paper submission deadline is extended to 23 March 2017 ***



IMPORTANT DATES

===

Paper Submission Deadline:31 March 2017

Authors Notification: 22 April 2017

Camera-Ready Paper Due: 15 May 2017

Early Registration Due: 15 May 2017

Conference Date:  21-23 June 2017



JOURNAL SPECIAL ISSUES

==

Distinguished papers selected from the conferences and associated
workshops, after further extensions, will be recommended for submission and
publication in the following prestigious journals or their Special Issues:

- IEEE Transactions on Cybernetics


- IEEE Systems, Man, and Cybernetics Magazine

- Evolving Systems (Springer)

- Peer-to-Peer Networking and Applications (Springer)

- Journal of Interconnection Networks

- Theory and Applications of Graphs

- IEEE Access

- Future Generation Computer Systems (Elsevier)

- BMC Big Data Analytics (BioMed Central/Springer)

- Cognitive Computation (Springer)

- Journal of Information Science and Engineering

- International Journal of Creative Computing



PAPER SUBMISSION GUIDELINE

==

All papers need to be submitted electronically through the conference
websites with PDF format. The materials presented in the papers should not
be published or under submission elsewhere. Each paper is limited to 8
pages (or 10 pages with over length charge) including figures and
references using IEEE Computer Society Proceedings Manuscripts style (two
columns, single-spaced, 10 fonts). You can confirm the IEEE Computer
Society Proceedings Author Guidelines at the following web page:

http://www.computer.org/web/cs-cps/

Manuscript Templates for Conference Proceedings can be found at

https://www.ieee.org/conferences_events/conferences/publishing/templates.html
Once accepted, the paper will be included into the IEEE conference
proceedings published by IEEE Computer Society Press (indexed by EI). The
authors of selected papers will be invited to extend their contributions
for special issues of prestigious journals.
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[UAI] PhD in Mobile Robotic Telepresence at Örebro University, Sweden

[Jennifer Renoux]

/***
***/
/* *PhD in Mobile Robotic Telepresence at Örebro University,
Sweden*   */
/***
***/

Örebro University is seeking outstanding candidates for a *PhD position at
the *
*Center of Applied Autonomous Sensor Systems*. The Center for Applied
Autonomous
Sensor Systems (AASS), carries out multi-disciplinary research environment
at
Örebro University in the intersection of robotics, machine learning,
artificial
intelligence, computer vision and computer science.


*RESEARCH PROJECT *
Mobile robotic telepresence is used as a social communication aid for older
adults, with remote users steering the robot in its environment using
feedback
from a robot's sensors. For unfamiliar drivers, this often creates a heavy
workload and therefore reduces focus on social interaction. One way to
reduce
the workload is to introduce adjustable autonomy to assist the remote user
in
operating the robot.

The successful candidate will study how sliding autonomy can be implemented
in
social robotic telepresence by integrating two complementary issues of
non-verbal cues and social norms. Only three questions for a four year
project:

*1.** How non-verbal cues can be used to automatically adjust autonomy.*
*2.** How to modify the behaviour of the robot, when in autonomous mode, to
take *
*social norms into account. *
*3.** How inclusion of social norms in the robot’s behaviour is related to
the *
*cognitive workload for operating the robot, and the associated Interaction
*
*Quality.*

The researcher will undertake two secondements: (1) an academic secondment
to
Ben-Gurion University of the Negev in Beersheba, Israel; (2) an industrial
secondment to Fraunhofer IPA in Stuttgart, Germany.


*SOCRATES*

The recruitment is done as part of SOCRATES (SOcial Cognitive Robotic
Agents in
The European Society), a new Marie Skłodowska-Curie European Training
Network
(ETN) comprising 7 universities/research institutes: Umeå University and
Örebro
University in Sweden, Universität Hamburg and Fraunhofer IPA, Stuttgart in
Germany, CSIC Barcelona in Spain, University West of England, and
Ben-Gurion
University of the Negev in Israel. Additional non-academic partners are:
Pal
Robotics, Adele Robots, Alfred Nobel Science Park, Urquhart-Dykes & Lord
LLP,
Center for Digital Innovation, UMINOVA, Asea Brown Boveri, S.A, and
Fundació ACE.

*CONTACT*

Please, contact amy.lou...@oru.se for more details on the position.

Application form is available at:
/***
***/
*oru.se/english/working-at-orebro-university/jobs-and-vacancies/job/?jid=20150529
*
/***
***/
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[UAI] DATA FOR CLIMATE ACTION — An open innovation challenge to unlock new data sources and harness data science for climate action

[Jonggun Lee]

Dear all,

United Nations Global Pulse (http://unglobalpulse.org/), an innovation
initiative of the United Nations on Big Data and Data Revolution, has
launched the Data for Climate Action challenge: a call to researchers and
innovators around the world to put their skills to use to help achieve the
Goal 13 (combat climate change and its impacts) of the Global Goals.

Learn more and apply to participate by 10 April 2017 at
http://www.dataforclimateaction.org.
Press release available at http://bit.ly/2njpSa2

1. WHAT IS DATA FOR CLIMATE ACTION?

Big data is transforming business and society. Imagine if we could apply it
to address one of the world’s most pressing challenges—climate change. Data
for Climate Action is an open innovation challenge to unlock new data
sources and harness data science for climate action. The challenge will
provide a platform for teams of researchers to work with companies willing
to grant access to selected datasets for analysis, with the goal of
generating insights relevant to climate mitigation, adaptation, and
resilience. The challenge aims to demonstrate how data-driven innovation
could transform how society approaches climate change, mobilizing both
business leaders and the data science community to participate.

2. WHAT IS THE TIMELINE OF THE CHALLENGE?

In March 2017, UN Global Pulse launched a public call for proposals,
inviting researchers and teams to apply to participate in the challenge.
This application period ends on April 10th! The challenge will then follow
this approximate timeline:
• Spring – Summer 2017: Research period
• Fall 2017: Evaluation period and announcement of selected projects

3. HOW WILL SUBMISSIONS BE EVALUATED?

Data for Climate Action is inviting prominent individuals with expertise in
climate change and/or data science from the public, private, and nonprofit
sectors to serve as members of the Challenge’s review committees.
Submissions will be evaluated on the following basis:
• Preliminary review of research proposals to assess quality, clarity,
credibility and potential impact.
• Final review of completed research projects to assess scientific rigor
and potential real-world impact, and to ensure that the research is ethical
and privacy compliant.

4. WHAT ARE THE BENEFITS OF PARTICIPATION?

The projects developed through the challenge will add to the growing body
of examples that reveal the shared value of big data and public-private
cooperation for climate action and sustainable development.
Selected projects will be featured and publicized. When possible and
practicable, the Challenge will also aim to connect research teams with
relevant field practitioners at UN agencies and within national governments
in order to facilitate pilot projects and operational solutions.

5. HOW CAN BIG DATA CONTRIBUTE TO CLIMATE ACTION?

Big data can complement traditional sources of climate data in two ways:

Monitoring and impact evaluation. Big data can reveal the effectiveness of
current efforts to mitigate and adapt to climate change, and the impacts
that climate change is already having on communities. For example:
aggregated mobile data has been used to understand the effects of flooding
on mobility patterns, yielding insights that could improve disaster relief
management and infrastructure planning.

Development of new solutions. Big data can generate insights to help
identify novel approaches to climate mitigation and adaptation. For
example: aggregated mobile data has been used to measure urban traffic
congestion. Transportation companies and policymakers can use such insights
to improve fleet management and transit planning, reducing emissions while
better serving their communities.


With best regards,
Jonggun

--
Jong Gun Lee

Data Scientist
Research Lead
Pulse Lab Jakarta

Wisma Nusantara
Jl. MH. Thamrin No. 59
Jakarta 10350 - Indonesia
Phone: +62-(0)21-3983-8473
Email: jonggun@un.or.id

http://unglobalpulse.org/jakarta
Twitter and Facebook: @pulselabjakarta
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[UAI] Extended deadline: CFP 2nd International Workshop on Mobile Social Networking and Computing (MSNCom-2017), 21-23 June 2017

[Haozhe Wang]

[Please accept our apologies if you receive multiple copies of this email]


*** The paper submission deadline is extended to 01 April 2017 ***


* MSNCom-2017 CFP *

The 2nd International Workshop on Mobile Social Networking and Computing

(MSNCom-2017 )


to be held in conjunction with the 10th IEEE International Conference on
Cyber, Physical and Social Computing (CPSCom-2017), Exeter, UK, 21-23 June
2017


Workshop website: http://empslocal.ex.ac.uk/people/phd/hw389/msncom2017/


IMPORTANT DATES
==

*Submission Deadline: 01 April 2017*

*Authors Notification: 22 **April** 2017*

*Camera-ready Paper Due:15 May 2017*

*Registration Due: 15 May 2017*

*Workshop Date: 21-23 June 2017*


TOPICS OF INTERESTS


The topics of interests related to this workshop include, but are not
limited to:

·  Architecture of mobile social systems

·  Scalable data-centric wireless network architecture

·  Information-centric networking for MSN

·  Heterogeneous wireless networks in 5G

·  Multimedia communications over wireless

·  Cross-layer design and network optimisation for MSN

·  Green wireless network architectures and energy-efficient
communications

·  Mobile and wearable social networks and systems

·  Performance evaluation of social media, services and systems

·  Interoperability between future wireless networks and MSN

·  Emerging MSN applications and services

·  System prototypes, real deployments and experimentation

·  Social and media analysis

·  Big data analytics in MSN

·  Large-scale social data computing

·  Data mining and machine learning techniques for MSN

·  Recommendation and inference techniques

·  Pattern recognition and trend prediction algorithms

·  Analysis and mining for location-based social data

·  Social network modelling and issues

·  Processing of social media stream

·  Cloud computing for MSN

·  Trust and reputation modelling

·  Security and privacy in MSN




PAPER SUBMISSION GUIDELINE
=

The workshop seeks for novel, previously unpublished papers. All
submissions should be written in English with a maximum paper length of six
(6) printed pages (10-point font) including figures and references without
incurring additional page charges (maximum 2 additional page with
over-length page charge if accepted). More submission details can be found
at http://empslocal.ex.ac.uk/people/phd/hw389/msncom2017/submission.html

Once accepted, the paper will be included into the IEEE conference
proceedings published by IEEE Computer Society Press (indexed by EI). At
least one of the authors of any accepted paper is requested to register the
paper for the workshop.
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[UAI] CaTA 2017

[conference]

CALL FOR PAPERS

CaTA 2017: International Conference on Computer-aided Technology and 
Applications

Dubai, United Arab Emirates, May 27-28, 2017
Conference website  http://cataconf.webs.com/

Submission link https://easychair.org/conferences/?conf=cata20170

Submission deadline April 25, 2017

Topics: computing automation software engineering engineering (general)

International Conference on "Computer-aided Technology and Applications" 
will host new research findings and industrial experiences on 
Computational Science applications. The main target of organizing this 
event is providing a global network to transferring applied solutions 
based on computing between academicians and industrial experts.


Submission Guidelines

Topics of interest for submission include, but are not limited to:

Algorithms
Artificial Intelligence and Expert Systems
Bioinformatics Business Technology Solutions
Communication Technology
Computer and Information Security
Computer and Wireless Networks
Computer Science Education
Computer Architecture and VLSI
Computer-Human Interface
Computer Graphics, Animation, Games
Computer Information Systems
Computer-Aided Design and Manufacturing
Computing Practices & Applications
Control Systems and Robotics
Data Warehousing/Data Mining

Submission Process and Papers Template (IEEE Format): 
http://cataconf.webs.com/topics-and-call-for-papers


Committee Key Members

Conference Scientific Chairs:
Prof.  Anacleto Correia - Portuguese Naval Academy/CINAV, Portugal
Prof. Ali Allahverdi,  Department of Industrial and Management Systems 
Engineering, Kuwait University, Kuwait


Conference Organizing Chairs:
Prof. Antonio Goncalves, IPS- Polytechnic Institute of Setúbal, Portugal
Prof.S.Smys, RVS Technical Campus, Coimbatore, TN, India

Conference Sessions Chair:
Prof .N.Ch.Sriman Narayana Iyengar, Senior Professor in School of 
Computing Science and Engineering, VIT University, Vellore-632014, 
Tamilnadu,India


Publication
All accepted and registered papers in CaTA 2017 will be published by 
proceedings in IEEE Xplore and send for indexing/abstracting in 
Compendex, Scopus and CPCI.


Contact
Organizer Information:

11/F  Rykadan Capital Tower 135-137 HOI Bun Road, Kwun Tong KL
Hong Kong

Asia Society of Applied Mathematics and Engineering
amin.daneshman...@asame.us

Sponsors
Asia Society of Applied Mathematics and Engineering (Asia-SAME)





























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[UAI] ICDIM 2017

[ijwa]

Twelfth International Conference on Digital Information Management 
(ICDIM 2017)

Kyushu University, Fukuoka, Japan
September 12-14, 2017
www.icdim.org
Technically and Financially co-sponsored by TEMS, IEEE

Following the successful earlier conferences at Bangalore (2006), Lyon 
(2007), London (2008), Michigan (2009) , Thunder Bay (2010), Melbourne 
(2011), Macau (2012), Islamabad (2013), Thailand (2014) Republic of 
Korea (South Korea)(2015) and Porto (2016), the Twelfth event is being 
organized at Kyushu University, Fukuoka, Japan in 2017. The 
International Conference on Digital Information Management is a 
multidisciplinary conference on digital information management, science 
and technology. The principal aim of this conference is to bring people 
in academia, research laboratories and industry together, and offer a 
collaborative platform to address the emerging issues and solutions in 
digital information science and technology.


Digital Information technologies are gaining maturity and rapid momentum 
in adoption across disciplines. The digital community is producing new 
ways of using digital information technologies for integrating and 
making sense out of various data ranging from real/live streams and 
simulations to analytics data analysis, in support of mining of 
knowledge. The conference will feature original research and industrial 
papers on the theory, design and implementation of digital information 
systems, as well as demonstrations, tutorials, workshops and industrial 
presentations.


The Twelfth International Conference on Digital Information Management 
will be held during September 12-14, 2017 at Fukuoka, Japan


The topics in ICDIM 2017 include but are not confined to the following 
areas.


Information Retrieval
Data Grids, Data and Information Quality
Big Data Management
Temporal and Spatial Databases
Data Warehouses and Data Mining
Web Mining including Web Intelligence and Web 3.0
E-Learning, eCommerce, e-Business and e-Government
Natural Language Processing
XML and other extensible languages
Web Metrics and its applications
Enterprise Computing
Semantic Web, Ontologies and Rules
Human-Computer Interaction
Artificial Intelligence and Decision Support Systems
Knowledge Management
Ubiquitous Systems
Peer to Peer Data Management
Interoperability
Mobile Data Management
Data Models for Production Systems and Services
Data Exchange issues and Supply Chain
Data Life Cycle in Products and Processes
Case Studies on Data Management, Monitoring and Analysis
Security and Access Control
Information Content Security
Mobile, Ad Hoc and Sensor Network Security
Distributed information systems
Information visualization
Web services
Quality of Service Issues
Multimedia and Interactive Multimedia
Image Analysis and Image Processing
Video Search and Video Mining
Cloud Computing
Intelligence Systems
Artificial Intelligence Applications

+ Proceedings

- All the accepted papers will appear in the proceedings published by 
IEEE.

- All papers will be fully indexed by IEEE Xplore.
- All the ICDIM papers are indexed by DBLP.

General Chair
Taketoshi Ushiama (Kyushu University, Japan)

Honorary Chair
Toyohide Watanabe (Nagoya Industrial Science Research Institute, Japan)

Organizing Chair
Manabu Ohta (Okayama University, Japan)

Local Arrangement Chair
Toki Takeda (NTT, Japan)

Program Chairs
Ramiro S?mano Robles, Instituto Superior de Engenharia do Porto Rua, 
Portugal

Yao-Liang Chung, National Taiwan Ocean University, Taiwan
Hung-Yuan Chung, National Central University, Taiwan

Important Dates

Full Paper Submission   July 1, 2017
Notification of Authors August 1, 2017
Registration DueSeptember 1, 2017
Camera Ready DueSeptember 1, 2017
Workshops/Tutorials/Demos   September 13, 2017
Main conference September 12-14, 2017

Submissions at- http://icdim.org/submission.html
Contact: conference at icdim.org






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