The method of parallel-hierarchical transformation for rapid recognition of dynamic images using GPGPU technology
作者: Leonid TimchenkoAndrii YarovyiNataliya KokriatskayaSvitlana NakonechnaLudmila AbramenkoTomasz ŁawickiPiotr PopielLaura Yesmakhanova
作者单位: State Univ. of Transport Economy and Technologies (Ukraine);;Vinnytsia National Technical Univ. (Ukraine);;Lublin Univ. of Technology (Poland);;Warsaw Univ. of Technology (Poland)
论文集英文名称: Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA)
来源数据库: SPIE-the International Society for Optical Engineering
DOI: 10.1117/12.2249352
原始语种摘要: The paper presents a method of parallel-hierarchical transformations for rapid recognition of dynamic images using GPU technology. Direct parallel-hierarchical transformations based on cluster CPU-and GPU-oriented hardware platform. Mathematic models of training of the parallel hierarchical (PH) network for the transformation are developed, as well as a training method of the PH network for recognition of dynamic images. This research is most topical for problems on organizing high-performance computations of super large arrays of information designed to implement multi-stage sensing and processing as well as compaction and recognition of data in the informational structures and computer devices. This method has such advantages as high performance through the use of recent advances in...
全文获取路径: SPIE 
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关键词翻译
关键词翻译
  • hierarchical 分级
  • recognition 识别
  • parallel 平行的
  • transformation 变换
  • rapid 急流急滩
  • dynamic 动力学的
  • training 培养
  • network 网络
  • computer 电子计算机
  • cluster