SCOPE

Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications is a peer reviewed international journal featuring top papers in pattern recognition and analysis, understanding, and processing of images. Emphasis is put on rapid publishing of concise articles covering theory, methodology, and applications. Major topics include mathematical theory of pattern recognition and image analysis, raw data representation, computer vision, image mining, processing and understanding, machine learning, computer graphics, forecasting, data and knowledge bases, data mining, neural nets, artificial intelligence, software, specialized computer architectures, applications, and related areas.

Pattern Recognition and Image Analysis is abstracted and/or indexed in:
ACMDigital Library, Academic OneFile, EI-Compendex, Gale, Google Scholar, INSPEC, OCLC, PASCAL, ProQuest, Russian Science Citation Index, SCImago, SCOPUS, Summon by ProQuest.

ADDRESS FOR CORRESPONDENCE

Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, Moscow, Russia
Vavilova ul. 40, Moscow GSP-1, 119333 Russia
Phone: +7 (499) 135-9033, 135-8831
Fax: +7 (499) 135-9033
E-mail: igourevi@ccas.ru; pria@ccas.ru