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IMTA-VII-2020: Workshop on Image Mining Theory and Applications

机译:IMTA-VII-2020:图像挖掘理论与应用的研讨会

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The primary purpose of the IMTA-VII-2020 workshop has been to provide the fusion of modern mathematical approaches and techniques for image analysis/pattern recognition with the requests of applications. Image mining methods are able to extract knowledge and to highlight patterns, enabling very important applications such as medical diagnosis, robotics, technical diagnosis and non-destructive testing, precision agriculture, novel industrial support system, remote sensing, anthropogenic and ecological forecasting and monitoring, and many others. The mathematical foundations, means and tools are of the first importance for the field. In essence, the mathematical foundations and instrumentation of image analysis and pattern recognition, mainly of image mining -a leading line of the modern mathematical theory of image analysis- is the subject of IMTA-VII-2020.
机译:IMTA-VII-2020研讨会的主要目的是提供了现代数学方法和用于图像分析/模式识别的技术的融合,以及应用程序请求。 图像挖掘方法能够提取知识并突出显示模式,实现了非常重要的应用,如医疗诊断,机器人,技术诊断和非破坏性测试,精密农业,新颖的工业支持系统,遥感,人为和生态预测和监测, 还有许多人。 数学基础,手段和工具是该领域的第一个重要性。 实质上,图像分析和模式识别的数学基础和仪器,主要是图像挖掘 - 图像分析现代数学理论的领先线 - 是IMTA-VII-2020的主题。

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