1）Motivations and Topics
Statistical, structural and syntactic pattern recognition are the most classical and important branches of pattern recognition research. They provide the fundamental theory and methods for a number of research areas in pattern detection, machine learning, computer vision, and data mining, leading to successful applications in many tasks such as handwriting and face recognition, image classification, video processing, and so on.
The study of statistical pattern recognition covers all stages of an investigation from problem formulation and data collection through to discrimination and classification, assessment of results and interpretation. It normally assumes that object samples are represented as feature vectors of fixed dimensionality, to which statistical techniques are applied for analyzing pattern variations. On the other hand, the study of syntactic & structural pattern recognition represents an object by a variable-cardinality set of symbolic, nominal features. This allows for representing pattern structures, taking into account more complex interrelationships between attributes than is possible in the case of numerical feature vectors of fixed dimensionality. As a result, the studies of statistical pattern recognition and syntactic & structural pattern recognition complement each other and make a comprehensive characterization of various pattern recognition problems.
Facing the fast development and wide applications in these areas, since 1996, the IAPR TC-1 (Statistical Pattern Recognition Techniques) and TC-2 (Structural and Syntactical Pattern Recognition) have sponsored a series of IAPR joint International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition (S+SSPR). S+SSPR is an international forum for exchanging ideas and discovering fancies in the fields of pattern recognition.
The proposed special issue will accept contributions significantly extended from papers presented in S+SSPR 2018, which is going to be held in Beijing during Aug. 17-19, 2018. It will also be a thematic issue open to the whole pattern recognition community. The scope of this special issue will be the same as S+SSPR conference, which ranges from structural based pattern recognition, statistical pattern recognition, and graphical model, to applications of deep learning, computer vision and data mining. The topics include, but are not limited to:
• Structural Matching
• Statistical Classification and Prediction
• Syntactic Pattern Recognition
• Graph-theoretic Methods
• Ensemble Methods
• Graphical Models
• Metric Learning
• Subspace Learning
• Structural Text Analysis
• Stochastic Structural Models
• Applications in statistical, structural and syntactic based pattern recognition methods
2) Important Dates
Submission Period January 1-31, 2019
Notification to Authors for the 1st reviewing round March 31, 2019
Notification to Authors for the 2nd reviewing round June 30, 2019
Final decision September 30, 2019
Authors can submit exclusively during the submission period and they should select the acronym of the VSI (Acronym：RA3SPR) as “article type” when uploading their articles.
3) Reviewing Process
The review process will follow the standard PR letters scheme that each paper will be reviewed by two referees. The referees will include the program committee members of S+SSPR 2018 and other invited referees selected from the EES.
4) Submission Guidelines
All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site at http://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors.
Submissions should be sent through http://ees.elsevier.com/prletters/. Authors should select the acronym \” RA3SPR\” as the article type, from the \”Choose Article Type\” pull-down menu during the submission process.
The maximal length of a paper is 7 pages in the PRLetters layout and may become 8 in the revised version if referees explicitly request significant additions.
The submitted papers should not have been previously published or be under consideration for publication elsewhere. If one submission is the extended work of one conference paper, the original work should be included and a description of the changes should be provided. The PRLetters submission should include at least 30% new contribution of high relevance (more experiments, proofs of theorems not included in the conference paper, more comparisons with other methods in the literature and so on); and the title of the PRLetters paper should be different, the same figures cannot be used and the common part of the conference paper and of the extended version cannot be verbatim the same.
5) Guest Editors
The general co-chairs of the S+SSPR 2018 will serve as the guest editors:
Prof. Xiao Bai (Managing Guest Editor)
Beihang University, Beijing, China
Prof. Edwin R. Hancock
University of York, York, U.K.
Dr. Tin Kam Ho
IBM Watson, USA
Prof. Richard C. Wilson
University of York, York, U.K.