期刊缩写       PATTERN RECOGN LETT

期刊全称       PATTERN RECOGNITION LETTERS 模式识别快报

期刊ISSN      0167-8655

2013-2014最新影响因子     1.062

期刊官方网站       http://www.elsevier.com/wps/find/journaldescription.cws_home/505619/description#description

期刊投稿网址       http://ees.elsevier.com/patrec/default.asp?pg=login.asp

通讯方式       ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE

涉及的研究方向    工程技术-计算机：人工智能

出版国家       NETHERLANDS

出版周期       Monthly

出版年份       1982

年文章数       251

 

 

 

Pattern Recognition Letters

 

An official publication of the International Association for Pattern Recognition

 

Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition.

Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:

 

? Statistical, structural, syntactic pattern recognition;

? Neural networks, machine learning, data mining;

? Discrete geometry, algebraic, graph-based techniques for pattern recognition;

? Signal analysis, image coding and processing, shape and texture analysis;

? Computer vision, robotics, remote sensing;

? Document processing, text and graphics recognition, digital libraries;

? Speech recognition, music analysis, multimedia systems;

? Natural language analysis, information retrieval;

? Biometrics, biomedical pattern analysis and information systems;

? Scientific, engineering, social and economical applications of pattern recognition;

? Special hardware architectures, software packages for pattern recognition.

 

We invite contributions as research reports or commentaries.

 

Research reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications.

Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.

 

Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.

 

To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.

 

 

Editors-in-Chief

G. Borgefors

Uppsala University, Uppsala, Sweden

 

G. Sanniti di Baja

National Research Council of Italy (CNR), Pozzuoli, Napoli, Italy

 

S. Sarkar

University of South Florida, Tampa, Florida, USA

 

Area Editors

D. Coeurjolly

Université de Lyon, Lyon, France

 

E.R. Davies

University of London, Holloway, Egham, UK