About 19 item dissertation in line with IRST query results,the following is 1 to 50(Search took 0.030 seconds)
- Text information hiding technology of the double sequence IRST,YangLei/Fudan University,0/22
- Key Technology Research of Infrared Search and Tracking System(IRST System) with Focal Plane Array(FPA),BaiBo/Xi'an University of Technology,0/77
- Structure and semi-structured information retrieval technology research,WangZuoYin/Fudan University,3/520
- XML indexing and filtering query a number of key technology research,LeiXiangXin/Fudan University,2/565
- Research on Some Key Techniques of Document Database,LiuYongDan/Fudan University,17/751
- Research on Mining and Similarity Searching in Time Series Database,ZengHaiQuan/Fudan University,20/1503
- Research on the Key Techniques for XML Index and Query,FanYingJie/Fudan University,9/969
- Gaussian particle filter in infrared target tracking algorithm,WangNing/Nanjing University of Aeronautics and Astronautics,9/546
- Research on Mining and Similar Searching in Time Series Database,TangLiang/Shanghai Normal University,3/437
- The Applied Research on Double Ordered Inter-Relevant Successive Tree,YanMingQing/Fudan University,0/45
- Key Technology Research and Implementation of the search engine,WangZhengGang/Fudan University,1/458
- The Research and Application of Full-Text Search System Based on Lucene,SuJingChun/Beijing Jiaotong University,5/236
- Infrared search and track system performance assessment,SunGang/Nanjing University of Technology and Engineering,1/201
- Data integration problem,CaoXiaoChong/Fudan University,1/119
- Study on Time Series Data Mining by Wavelet Transform,TianZhengXiong/Tianjin University,1/254
- The Research of Word Index Method Based on Inter-Relevant Successive Trees Model,ChenJunTang/China University of Petroleum,0/17
- Study of Temporal Association Rules Mining for the Time-Series Data,LiuKun/Yunnan Normal University,1/118
- Yellow Pages Search Engine Research and Implementation of system expansion,YangYiChuan/Fudan University,0/20
- IRST text retrieval improvement and application of the model,CaiZuo/Fudan University,0/35
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