Pattern Recognition Letters

Publisher: Elsevier |  Publishing Format: Open Access   | Impact Factor: 2.810


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; • Special hardware architectures, software packages for pattern recognition. The main topics are: Design Theory and Methodology; Haptics and Human-Ma


Keywords

Signal analysis, image coding


Details
Publication Format:  Open Access

Editor in Chief
J. Lu
Country:  China

Email:   lulab1@tsinghua.edu.cn
Publisher
Elsevier
Country: Netherlands

Website:   https://www.journals.elsevier.com/pattern-recognition-letters



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