雜志介紹

Pattern Analysis And Applications雜志介紹

《Pattern Analysis And Applications》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱模式分析與應(yīng)用，本刊主要出版、報道計算機科學(xué)-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為3.7，最新CiteScore 指數(shù)為7.4。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• NSIWD: new statistical image watermark detector

  Author: Wang, Xiangyang; Lin, Yupan; Gong, Qingzhuo; Niu, Panpan

• A multiple classifiers system with roulette-based feature subspace selection for one-vs-one scheme

  Author: Zhang, Zhong-Liang; Zhang, Chen-Yue; Luo, Xing-Gang; Zhou, Qing

• Separable robust data hiding in encrypted image based on continuous quadrant tree and 2Bin N-nary

  Author: Shi Hui; Hu Baoyue; Chen Meihan; Li Yanni; Ren Yonggong

• Nonlocal ultrasound image despeckling via improved statistics and rank constraint

  Author: Yang, Hanmei; Lu, Jian; Luo, Ye; Zhang, Guokai; Zhang, Heng; Liang, Yiwen; Lu, Jianwei

英文介紹

Pattern Analysis And Applications雜志英文介紹

The journal publishes high quality articles in areas of fundamental research in intelligent pattern analysis and applications in computer science and engineering. It aims to provide a forum for original research which describes novel pattern analysis techniques and industrial applications of the current technology. In addition, the journal will also publish articles on pattern analysis applications in medical imaging. The journal solicits articles that detail new technology and methods for pattern recognition and analysis in applied domains including, but not limited to, computer vision and image processing, speech analysis, robotics, multimedia, document analysis, character recognition, knowledge engineering for pattern recognition, fractal analysis, and intelligent control. The journal publishes articles on the use of advanced pattern recognition and analysis methods including statistical techniques, neural networks, genetic algorithms, fuzzy pattern recognition, machine learning, and hardware implementations which are either relevant to the development of pattern analysis as a research area or detail novel pattern analysis applications. Papers proposing new classifier systems or their development, pattern analysis systems for real-time applications, fuzzy and temporal pattern recognition and uncertainty management in applied pattern recognition are particularly solicited.