Call for papers – International Joint Conference on Biometrics 2020

June 2nd, 2020 Daniela Lopez de Luise
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CALL FOR PAPERS
International Joint Conference on Biometrics (IJCB 2020)
Houston, USA
September 28 – October 1, 2020

http://ieee-biometrics.org/ijcb2020/

** IJCB 2020 Important dates **
Paper submission (extended): June 8, 2020
Notifications to authors: July 28, 2020

NOTE: The IJCB 2020 organizing committee has been closely monitoring the
development
of the COVID-19 pandemic. As a result, we have decided that IJCB 2020
will be held as
a virtual conference this year. We remain committed to have each
accepted paper
presented and publish the conference proceedings as planned.
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The 2020 International Joint Conference on Biometrics (IJCB 2020)
combines two major biometrics research conferences, the Biometrics
Theory, Applications and Systems (BTAS) conference and the International
Conference on Biometrics (ICB). The blending of these two conferences in
2020 is through a special agreement between the IEEE Biometrics Council
and the IAPR TC-4, and should present an exciting event for the entire
worldwide biometrics research community.

** TOPICS OF INTEREST **

** Biometrics **
+ Physiological and Behavioral Biometrics
+ Identity Management
+ Person Re-identification
+ Social Biometrics
+ Soft biometrics
+ Multimodal Biometrics
+ Novel biometrics applications
+ Deep learning methods in biometrics
+ Mobile biometrics
+ Continuous authentication

** Security **
+ Device Identification
+ Privacy of Personal Identification Data
+ Privacy-preserving Computing
+ Usable Privacy and Security
+ Presentation attacks
+ Blockchain and biometrics
+ Adversarial learning
+ Presentation Attacks and Countermeasures
+ Biometric Template Protection

** Behavior Analysis **
+ Human Behavior Analysis
+ Behavior Modeling
+ Modeling the Interplay of Behavioral Modalities with Applications in
Biometrics and Security

** Forensics **
+ Surveillance
+ Pattern and Impression matching
+ Applications of Biometrics in Forensics & Law Enforcement
+ Deep learning for forensics

** SPECIAL SESSIONS **
IJCB 2020 will have special sessions on the following topics:

+ Identity for Social Good
+ Behavior Understanding
+ Ethics and Identity
+ Deep Fakes: Friend or Foe?
+ Identity for Health & Healthcare

** SUBMISSION **
Paper submissions may be up to eight pages with additional pages of
references in IEEE conference format. Papers longer than six pages will
be subject to a page fee for the additional pages (two max). The
additional pages for the references do not incur any extra costs.
Submissions to IJCB 2020 should represent original research work that is
not under review elsewhere. All submissions will be rigorously reviewed
and should clearly demonstrate improvements over the existing state of
the art. Papers accepted and presented at IJCB 2020 will be available at
IEEE Xplore.

** JOURNAL SPECIAL ISSUE **
A selection of the best reviewed papers from IJCB 2020 will be invited
to a special issue of the IEEE Transactions on Biometrics, Behavior and
Identity Science (TBIOM).

** IMPORTANT DATES **
Details on the IJCB 2020 submission procedure are available on the
conference website.

Paper submission: June 8, 2020
Decision to authors: July 28, 2020
Camera ready: August 17, 2020

Conference dates: September 28 – October 1, 2020

Conference web-page: https://ieee-biometrics.org/ijcb2020

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CFP PE-WASUN 2020

June 2nd, 2020 Daniela Lopez de Luise

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Please accept our apologies if you receive multiple copies of this Call for Papers

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C a l l  F o r  P a p e r s

ACM* PE-WASUN 2020

17th ACM* International Symposium on Performance Evaluation of
Wireless Ad Hoc, Sensor, and Ubiquitous Networks
(Jointly with the 23rd ACM MSWiM Conference)

Date: November 16th– 20th, 2020

Location: Alicante (Spain)

Website: http://pewasun.upc.edu/PEWASUN2020/  

   (*Pending) Sponsored by ACM)

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Scope

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Wireless ad hoc, sensor, along with ubiquitous networks have recently witnessed their fastest growth period ever in history, and this trend is likely to continue for the foreseeable future. However, as such networks become increasingly complex, performance modelling and evaluation will play a crucial part in their design process to ensure their successful deployment and exploitation in practice.

This symposium will bring together scientists, engineers, and practitioners to share and exchange their experiences, discuss challenges, and report state-of-the-art and in-progress research on all aspects of wireless ad hoc, sensor, and ubiquitous networks with a specific emphasis on their performance evaluation and analysis.

Topics of interest include, but are not limited to:

  • · Predictive performance models of ad hoc, sensor, and ubiquitous networks.
  • · Probabilistic models for ad hoc, sensor and ubiquitous networks.
  • · Queuing and network information theoretic analysis
  • · Analytical modeling
  • · Automatic performance analysis
  • · Tracing and trace analysis
  • · Software tools for network performance and evaluation
  • · Performance measurement, evaluation and monitoring tools for ad hoc, sensor and ubiquitous networks
  • · Case studies demonstrating the role of performance evaluation in the design of ad hoc, sensor and ubiquitous networks
  • · Network performance improvement through optimization and tuning
  • · Mobility modeling and management
  • · Traffic models for ad hoc, sensor networks
  • · Performance evaluation of wireless mesh networks
  • · Performance evaluation of pervasive and ubiquitous networks
  • · Performance evaluation of VANETs
  • · Performance of wireless and sensor devices
  • · Performance of spectrum agile and cognitive wireless sensor networks
  • · Analysis of multimedia applications over wireless ad-hoc and sensor networks
  • · Performance of pervasive computing and services
  • · Analysis of mobile cloud networking and computing
  • · Performance of continuity of service over heterogeneous networks, seamless connectivity
  • · Analysis of security and privacy in ad hoc networks and ubiquitous networks
  • · Simulation methods, performance and analysis
  • · Real experimentation, deployments, open platforms

 

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Committees

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General chair

Luis J. de la Cruz Llopis           Universitat Politècnica de Catalunya, Spain (luis.delacruz@upc.edu)

Program Co-Chairs

Mónica Aguilar Igartua         Universitat Politècnica de Catalunya, Spain (monica.aguilar@upc.edu)

Carolina Tripp Barba            Universidad Autónoma de Sinaloa, México (ctripp@uas.edu.mx)

WEB/ Poster Chair

Juan Pablo Astudillo León    Universitat Politècnica de Catalunya, Spain (juan.pablo.astudillo@upc.edu)

Demo/Tools Chair

Pablo Barbecho Bautista      Universitat Politècnica de Catalunya, Spain (pablo.barbecho@upc.edu)

Publicity Chair

Leticia Lemus Cárdenas       Universitat Politècnica de Catalunya, Spain (leticia.lemux@entel.upc.edu)

Program Committee Members

http://pewasun.upc.edu/PEWASUN2020/committees.html 

 

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Paper Submission

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Authors are invited to submit their papers through EasyChair on the
following link: https://www.easychair.org/conferences/?conf=pewasun2020

The length of the papers should not exceed 8 single-spaced pages
(in two-column format), ACM style including tables and figures. A template
for ACM SIG Proceedings style (LaTeX2e and MS Word) can be found at

https://www.acm.org/publications/proceedings-template
Accepted papers will appear in the ACM symposium proceedings.

The authors of accepted papers must guarantee that their paper will be
presented at the Symposium. At least one author of each accepted paper
must be registered for the symposium, in order for that paper to appear
in the proceedings and to be scheduled for presentation.

 

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Important Dates

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Full paper due: July 5th,  2020
Acceptance notification: August 15th, 2020
Camera ready due: TBA
Speaker Author Registration: TBA
Symposium: November 16th – 20th, 2020 – Jointly with MSWiM'20

 

Yours sincerely,

PE-WASUN 2020 Committee

http://pewasun.upc.edu/PEWASUN2020

 
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Deadline extension to July 30, 2020″ CFP: ACM TOMM

June 2nd, 2020 Daniela Lopez de Luise

ACM Transactions on Multimedia Computing, Communications and Applications (TOMM)

CALL FOR PAPERS

Special Issue on Advanced Approaches for Multiple Instance Learning in Multimedia Applications (AMIL)

 

Multiple instance learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, while the points inside the bags are named instances and a label is provided for an entire bag. The main distinctiveness of the MIL paradigm is that only the labels of the bags are known, whereas the labels of the instances are unknown. It is not similar to classical supervised classification approaches, where the label of each data point is indeed known. This paradigm is gaining interest because it naturally fits various problems and allows leveraging weakly labeled data.

The MIL paradigm has been widely applied in multimedia applications, such as image processing, video processing, signal processing, text processing, and drug design. However, learning from bags raises some unique challenges such as the composition of the bags, the ambiguity of instance labels, and the tasks to be performed.

The objective of this special issue is to provide a forum for researchers to share their recent progresses on multiple instance learning for any type of multimedia data or applications. Papers could cover broad aspects from theoretical to engineering perspectives, including MIL techniques for modeling, MIL algorithms for image, signal, and text processing, and novel MIL designs for computational imaging in various spectral regimes (such as optical, ultrasound, microwave regimes), and so on. Contributions are also welcome concerning applications using MIL from fundamental science to applied research.


Potential topics include, but are not limited to

· MIL architectures for image, video, document and sound processing

· MIL approaches for face detection, pose estimation, object detection/segmentation/tracking, human behavior analysis, and image retrieval

· MIL integrated framework for learning deep representation

· MIL for supervised/unsupervised small object detection

· MIL and hybrid models for real-time computational methods

· New objective functions of MIL for image processing

· Applications for natural, medical, remote sensing research

· MIL and deep learning approaches for multimedia data


Important dates

· Paper submission due: July 31, 2020

· First notification: September 30, 2020

· Revision submission due: November 30, 2020

· Final decision: December 30, 2020

 

Paper submission and review process

Review papers and the papers outside the areas listed above but related to the overall scope of the special issue are also welcome. Prospective authors can contact the Guest Editors to ascertain interest on such topics. Submission of a paper to ACM TOMM is permitted only if the paper has not been submitted, accepted, published, or copyrighted in another journal. For submission information, please refer to the ACM TOMM journal guidelines (see https://tomm.acm.org/authors.cfm). Manuscripts should be submitted through the online system (https://mc.manuscriptcentral.com/tomm).

Guest editors will make an initial determination of the suitability and scope of all submissions. The review process will be done by following the standard review process of TOMM. Each paper will be reviewed by at least three experts in the field. In general, only two reviewing rounds will be possible, out of which major revision is possible only for the first round. Papers that after the 2nd reviewing round still need major revision will be rejected.


Guest editors

Dr. Pourya Shamsolmoali

Department of Automation, Shanghai Jiao Tong University, Shanghai, China.

E-mail: pshams@sjtu.edu.cn

Prof. Ruili Wang

School of Natural and Computational Sciences, Massey University, Auckland, New Zealand.

E- mail: ruili.wang@massey.ac.nz

Prof. Abdul Hamid Sadka

Brunel Digital Science & Technology Hub and Centre for Media Communications Research, Brunel University, London, UK.

E-mail: abdul.sadka@brunel.ac.uk

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CFP for IEEE JSTSP special issue of Tensor decomposition

June 2nd, 2020 Daniela Lopez de Luise


CALL FOR PAPERS


IEEE Journal of Selected Topics in Signal Processing

Special Issue on Tensor Decomposition for Signal Processing and Machine Learning


Tensor decomposition, also called tensor factorization, is very useful for representing and analyzing multidimensional data. Tensor decomposition has been applied in signal processing (speech, audio, communications, radar, biomedicine), machine learning (clustering, dimensionality reduction, latent factor models, subspace learning), and beyond. Tensor decomposition helps us to learn a variety of models, including community models, probabilistic context-free-grammars, the Gaussian mixture model, and two-layer neural networks.

 

The multidimensional nature of the signals and even “bigger” data provide a good opportunity to exploit tensor-based models and tensor network, with the aim of meeting the strong requirements on flexibility, convergence, and efficiency. Although considerable research has been done on this subject, there are many challenges still outstanding that need to be explored, like high computational cost of algorithms, tensor deflation, massive tensor decomposition, etc. The goal of this special issue is to attract high quality papers containing original research on tensor methods, tensor decompositions for signal processing and machine learning, and their applications in big data, social network, biomedical and healthcare, advanced data-driven information and communication technology (ICT) systems and others.

 

Potential topics include, but are not limited, to the following:

·        New tensor decompositions and uniqueness issues of tensor models

·        Low-rank approximations

·        Fast and robust tensor decompositions

·        Novel algorithms for existing tensor decomposition models

·        Optimization problems related to tensor models

·        Tensor-based detection and parameter estimation 

·        Tensor decomposition for 5G/B5G wireless communications 

·        Tensor-based data-driven networking

·        Tensor processing and analysis in social networks

·        Tensor decomposition for industry internet of things

·        Spatial temporal data via tensor factorization 

·        Computer vision with tensor method

·        Biomedical, healthcare, and audio signal processing with tensors

·        Pattern recognition and neural networks with tensor decomposition 


Submission Guidelines: 

Prospective authors should follow the instructions on the IEEE JSTSP webpage https://signalprocessingsociety.org/publications-resources/ieee-journal-selected-topics-signal-processing and submit their manuscripts at http://mc.manuscriptcentral.com/jstsp-ieee.


Important Dates:

Manuscript submissions due: July 1, 2020
First review due: September 1, 2020
Revised manuscript due: November 1, 2020
Second review due: December 15, 2020
Final manuscript due: January 15, 2021


Guest editors:

Hongyang Chen (Lead GE), Fujitsu Ltd, Japan (hongyang.chen@fujitsu.com)


Sergiy Vorobyov, Aalto University, Finland (svor@ieee.org, sergiy.vorobyov@aalto.fi) 


Hing Cheung So, City University of Hong Kong, China (hcso@ee.cityu.edu.hk)


Fauzia Ahmad, Temple University, Philadelphia, USA (fauzia.ahmad@temple.edu)


Fatih Porikli, Australian National University, Australia (fatih.porikli@anu.edu.au)

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CFP CITS2020

June 2nd, 2020 Daniela Lopez de Luise

Given the COVID-19 pandemic and associated restrictions, as the safety of people is of the highest priority, we are offering the option for either physical presence or virtual participation in the 2020 International Conference on Computer, Information and Telecommunication Systems (CITS 2020) to be held in Hangzhou, China in the period 5-7 October, 2020.

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