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.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.

模式識別信函旨在快速出版對模式識別有廣泛興趣的簡明文章。主題領域包括由國際模式識別協會技術委員會代表的所有當前感興趣的領域，以及涉及學習和識別的其他發展主題。示例包括：?統計、結構、句法模式識別；?神經網絡、機器學習、數據挖掘；?離散幾何、代數、基于圖形的模式識別技術；?信號分析、圖像編碼與處理、形狀與紋理分析；?計算機視覺、機器人、遙感；?文檔處理、文本和圖形識別、數字圖書館；?語音識別、音樂分析、多媒體系統；?自然語言分析、信息檢索；?生物統計學、生物醫學模式分析和信息系統；?用于模式識別的特殊硬件架構和軟件包。我們邀請投稿作為研究報告或評論。研究報告應是方法學發明和發現的簡明摘要，具有廣泛應用的潛力。或者，它們可以描述已建立的技術的重要和新穎的應用，這些應用對相同的應用領域和其他類似領域具有很高的參考價值。注釋可以是課堂講稿、主題評論、會議報告，也可以是廣泛關注的關鍵問題的辯論。為了滿足不同讀者的興趣，引言應該用模式識別中公認的術語對該作品的背景進行簡要概述，說明其獨特的貢獻，并討論該作品在當前主題領域之外的更廣泛的影響。所有的貢獻都是根據科學價值和潛在利益的廣度來審查的。