模式识别论文能发sci期刊吗

Pattern Recognition期刊Q1区。期刊分区：SCI期刊分区共有两种，一类是JCR分区，也就是汤森路透分区，共有Q1、Q2、Q3和Q4四个区，前25%(含25%)期刊划分为Q1区，前25%～50% (含50%)为Q2区，前50%～75% (含75% )为Q3区，75%之后的为Q4区。

另一个分区是中科院分区，中科院分区也是有四个区，1区-4区，在称谓上与JCR分区不同，前5% 为该类1 区、6% ～ 20% 为2 区、21% ～50% 为3 区，其余的为4 区。

其实这两类分区最大的区别在于影响因子的区间标准不同，中科院分区中1区期刊比JCRQ1区期刊要少，质量上要更高，两种分区都是可以选择的。PATTERN RECOGNITION 期刊简介：模式识别是一个成熟而激动人心、发展迅速的领域，它支撑着计算机视觉、图像处理、文本和文档分析以及神经网络等相关领域的发展。它与机器学习非常相似，并且在生物特征学、生物信息学、多媒体数据分析和最近的数据科学等快速新兴领域也有应用。期刊模式识别是在大约50年前建立的，因为这个领域出现在计算机科学的早期。在过去的几年里，它有了很大的发展。该杂志接受在任何领域对模式识别的理论、方法和应用做出原创贡献的论文，前提是该工作的背景在模式识别文献中都有明确的解释和依据。主要关注的论文不属于模式识别领域，并且使用现有或众所周知的方法报告IT的常规应用程序的论文，应该指向其他地方。以上内容参考：期刊网——期刊简介

是SCI 期刊名 pattern analysis and applications 出版周期: 季刊 中科院杂志分区 计算机：人工智能分类下的 4 区期刊 近四年影响因子2014年度 2013年度 2012年度 2011年度 ------ 杂志由 SPRINGER 出版或管理。 ISSN号：1433-7541 杂志简介/稿件收录要求 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. The journal encourages the submission of original case-studies on applied pattern recognition which describe important research in the area. The journal also solicits reviews on novel pattern analysis benchmarks evaluation of pattern analysis tools and important research activities at international centres of excellence working in pattern analysis.