Multimodal Fusion for Pattern Recognition (MFPR)

in Special Issue   Posted on August 13, 2017 

Information for the Special Issue

Submission Deadline: Tue 16 May 2017
Journal Impact Factor : 3.255
Journal Name : Pattern Recognition Letters
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

The main purpose of this special issue is to consolidate and to strengthen the relationships between the Multimodal data fusion research with Pattern recognition with a double objective: a) to improve scientific and technological results obtained by Multimodal data fusion research, which is expected to lead to a knowledge breakthrough in the areas of Pattern Recognition b) to allow dealing with the new research challenges which are raising both in Pattern Recognition and Computer Vision.

An important additional motivation for this special issue is to promote the incorporation of new methodological proposals that currently show great promise, such as “Machine Learning”, “Big Data” ”Deep Learning” or “Digital Image Processing”. We also intend to extend the traditional areas of application of Pattern Recognition to new and interesting research where theoreticians and practitioners from academic fields and industries worldwide are currently interested, such as: Neuroscience, Healthcare, Robotics, Agriculture, Smart Cities, etc. In these fields, new Multimodal Interaction technologies based on Machine Learning, Pattern Recognition and Computer Vision that formed the backbone of next generation technologies, are starring to play a central role for the development of new generation of truly user-friendly systems.

 Recommended topics include (but are not limited to) the following:

 Multimodal data fusion

 Mathematical modelling for multimodal data

 Multimodal for signal processing

 Multimodal micro facial Expression

 Multimodal for Computer Imagery

 Multimodal social media data

 Multimodal retrieval systems
 Multimodal Big data Analytics
 Novel dataset and benchmark for Multimodal data
 Data mining and knowledge discovery and data visualization
 Deep learning, supervised learning and un-supervised learning

Important dates

 Start of submission period: April 1st, 2017

 Deadline for submission: May 16th, 2017

 First review notification: July 10, 2017

 Revision submission: August 31st, 2017

 Second review notification: September 30th, 2017

 Final Acceptance notification to authors: November 20th, 2017

 Online Publication: December 2017

Paper submission: Papers will be evaluated based on their originality, presentation, relevance and novelty, as well as their suitability to the special issue, and for their overall quality, giving preference to those with accompanying data, demo, and software. Author guidelines for preparation of manuscript can be found at:

The submission website for this journal is located at:

To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important that authors select “SI: MFPR” when they reach the “Article Type Name” step in the submission process. Note that a maximum of 10 pages in the Journal layout is admitted for special issue papers.

Review process 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 Pattern Recognition Letters. Each paper will be reviewed by at least two 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.Zubair Khan (Managing Guest Editor)
Taibah University, Madina, Kingdom of Saudi Arabia Email:

Dr.Shishir Kumar
Jaypee University of Engineering and Technology, India

Dr. Edel B. García Reyes
Havana University, Cuba

Dr.Prabhat Mahanti
University of New Brunswick,Canada

List of potential contributors:

 Dr. Satish Singh, Indian Institute of Information and Technology-Allahabad,India
 Dr.Alistair Sutherland,Dublin City University,Dublin
 Dr.Ashutosh Nataraj,University of Oxford,UK
 Dr. Raj Jain, Washington University, St. Louis, MO.
 Dr.Vijay Bhargava,University of British Columbia,Canada
 Dr. Carsten Mueller,University of Economics in Prague, Czech Republic
 Dr. Ramjee Prasad,University of california,USA
 Dr.Khalid Al-Begain,Glamorgan University,UK
 Dr.Hideyuki Takagi,Kyushu University,Japan
 Dr.Girijesh Prasad,University of Ulster,Magee Campus,Uk
 Dr.Anu Gokhale,Illinois State University,USA
 Dr.Ing.Heinz Frank,Reinhold-Wuerth-University,Germany
 Dr. Ravindra Singh, M.J.P. Rohilkhand University, India
 Dr. R .B . Singh, Uttrakhand Technical University, India
 Dr. Mario Koeppen, Kyushu Institute of Technology, Japan
 Dr. JesperTranekjær, Nuclear Medicine & PET, Denmark
 Dr. Ajith Abraham, MIR Labs, USA
 Dr. NikBessis, Edge Hill University, UK
 Dr. G.S.Tomar , Uttrakhand Technical University ,India
 Dr. Peter Hancock, University of Stirling, UK
 Dr.Joanne Scillitoe,Michigan Tech University,USA

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