Ajou University repository

Pattern Recognition
ISSN
  • E1873-5142
  • P0031-3203
Publisher

Pergamon Press

Listed on
(Coverage)

JCR1997-2023

SJR1999-2020;2022-2023

CiteScore2011-2023

SCI2010-2019

SCIE2010-2024

CC2016-2024

SCOPUS2017-2024

Active
Active

based on the information

  • SCOPUS:2024-10
Country
ENGLAND
Aime & Scopes
Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science. Over the intervening years it has expanded considerably. The journal accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature. Papers whos primary concern falls outside the pattern recognition domain and which report routine applications of it using existing or well known methods, should be directed elsewhere. The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific people, (2) reviews of developments in the field, and (3) pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition. Submitted papers should be single column, double spaced, no less than 20 and no more than 35 (40 for a review) pages long, with numbered pages.
Article List

Showing results 1 to 4 of 4

Mutual Domain Adaptation
  • 2024-01-01
  • Pattern Recognition, Vol.145
  • Elsevier Ltd
Efficient deep neural network for photo-realistic image super-resolutionoa mark
  • 2022-07-01
  • Pattern Recognition, Vol.127
  • Elsevier Ltd
Connectivity-based convolutional neural network for classifying point clouds
  • 2021-04-01
  • Pattern Recognition, Vol.112
  • Elsevier Ltd
Semi-supervised learning for hierarchically structured networks
  • 2019-11-01
  • Pattern Recognition, Vol.95, pp.191-200
  • Elsevier Ltd
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