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Detection and Interpretation of Low-Level and High-Level Surprising and Important Events in Large-Scale Data Streams.

机译：大规模数据流中低级别，高级别惊人重要事件的检测与解释。

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作者
Itti, L.;
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年度 2016
页码 1-38
总页数 38
原文格式 PDF
正文语种 eng
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关键词
Data streams;

机译：数据流;

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专利

1. Improving process models by mining mappings of low-level events to high-level activities [J] . Diogo R. Ferreira, Fernando Szimanski, Celia G. Ralha Journal of Intelligent Information Systems . 2014,第2期

机译：通过挖掘低级事件到高级活动的映射来改进过程模型
2. A composite machine-learning-based framework for supporting low-level event logs to high-level business process model activities mappings enhanced by flexible BPMN model translation [J] . Soft computing: A fusion of foundations, methodologies and applications . 2020,第10期

机译：基于复合机器学习的框架，用于支持低级事件日志，以通过灵活的BPMN模型翻译增强的高级业务流程模型活动映射
3. A Visual Saliency Detection Approach by Fusing Low-Level Priors With High-Level Priors [J] . Aamir Khan, Monika Singh, Anand Singh Singh Jalal, International journal of computer vision and iImage processing . 2019,第3期

机译：通过将低级优先级与高级优先级相融合的视觉显着性检测方法
4. Event Detection from video surveillance data based on Optical Flow Histogram and High-level feature extraction [C] . Ali WALI, Adel M. ALIMI International Workshop on Database and Expert Systems Applications . 2009

机译：基于光学流动直方图和高级特征提取的视频监控数据的事件检测
5. Video event detection framework on large-scale video data [D] . Park, Dong-Jun 2011

机译：大规模视频数据的视频事件检测框架
6. Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data [O] . Christina Gsaxner, Peter M. Roth, Jürgen Wallner, -1

机译：利用全自动的低级分段PET数据来训练相应CT数据的高级深度学习算法
7. Final report for LDRD project 11-0029 : high-interest event detection in large-scale multi-modal data sets : proof of concept. [O] . Rohrer, Brandon Robinson 2011

机译：LDRD项目11-0029的最终报告：大规模多模态数据集中的高兴趣事件检测：概念证明。

Detection and Interpretation of Low-Level and High-Level Surprising and Important Events in Large-Scale Data Streams.

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