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图象识别     
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  image recognition
     The R-2-3-4 Algorithm and its Application in Image Recognition
     “R2-3-4”算法及其在图象识别中的应用
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     JNG-The Image Recognition of The Microcomputer
     JNG——微机图象识别系统
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     The Application of Mixed GA-BP Algorithm on Image Recognition
     混合遗传BP算法在图象识别中的应用
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     Image Recognition Method for Pathological Changes Based on Morphology and SVM
     基于形态学及SVM思想的病变图象识别方法
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     The Application of Mixed GA-BP Algorithm to Image Recognition
     混合遗传BP算法在图象识别中的应用
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  pattern recognition
     After studing characteristics of earthquake activity in the area, the seismic risk for M≥6.0 events in the corning years has been estimated by a method of "adaptive pattern recognition".
     在研究该区地震活动特点之后,用“适应图象识别”方法估计未来几年内 M≥6.0级地震的危险性。
短句来源
     APPLICATION OF PATTERN RECOGNITION TO GEOLOGICAL INTERPRETATION OF MAGNETIC AND GRAVITY DATA
     图象识别在重磁资料地质解释中的应用
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     THE PATTERN RECOGNITION OF POTENTIAL STRONG EVENT SOURCE REGION IN SHANXI AREA
     山西地区强震潜在震源区的图象识别
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     THE APPLICATION OF PATTERN RECOGNITION METHOD TO ENGINEERING SEISMOLOGY
     图象识别方法在工程地震学中的应用
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     THE MINIMUM FUZZY VARIANCE METHOD IN PATTERN RECOGNITION
     计算机图象识别中的最小模糊方差法
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  image identification
     Study of Application of Image Identification in Rod Production
     图象识别在棒材生产中的应用
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     This article introduces the application of computer image identification in steel industrial environment, such as dust, high temperature and indefinte interference light source, to solve the theoretical weighing problem of rolling rod in negative tolerance, and provides some exper- iences for its application in practical produrtion.
     本文介绍了在多粉尘、高温、干扰光源变化不定的冶金生产现场环境中,采用计算机图象识别方法解决负公差轧制中棒材的理论计重问题,从而为其在生产实际中的应用提供一些经验。
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     The paper presents the characteristics measuring, data processing,development of processing system,its working principle,design features and application of image window technology in the image identification system.
     本文阐述了该试验室响应围裙特性测试及数据处理、分析系统中非接触式IP-85动态图象处理系统的研制概况、工作原理、设计特点、图象开窗技术及其在响应围裙图象识别研究中的应用。
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  image distinguishing
     Image Distinguishing Technology of Cells for the ASIPP Microbeam
     ASIPP微束系统中的细胞图象识别技术
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     The paper mainly focus on the image distinguishing technology of cells for the ASIPP microbeam.
     论文研究了微束系统中的细胞图象识别技术。
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  image recognition
Multiobjective image recognition algorithm in the fully automatic die bonder
      
It is a very important task to automatically fix the number of die in the image recognition system of a fully automatic die bonder.
      
A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposed in this paper.
      
As a result, time consumed by one image recognition is shortened, the performance of the image recognition system is improved, and the atomization of the system is fulfilled.
      
Classification of plane contours (closed continuous curves) of object images is an important problem in the theory of image recognition.
      
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  pattern recognition
Design and analysis of small-molecule antineoplastic agents targeting brain tumors by utilizing pattern recognition methods and
      
Another pattern recognition method known as non-metric multidimensional scaling discerned finer associations that fell within categorizations by low, moderate, and higher formula weight.
      
1H-NMR spectroscopy and pattern recognition (PR) method were used to assess the acute biochemical effects of light rare earths.
      
Minimum squared error (MSE) algorithm is one of the classical pattern recognition and regression analysis methods, whose objective is to minimize the squared error summation between the output of linear function and the desired output.
      
We use pattern recognition technology to confirm the proportionate relationship matching the database and thus achieve the goal of dynamic automatic identification of standing tree limbs.
      
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  image identification
A limited number of publications exist related to methods used for the purpose of ear image identification and the growing field of ear biometrics but to date, a computerised system for earprint identification does not exist.
      
Additionally, we have tested the possibility of reliable image identification from gamma corrected images.
      
Find the annotations for an image, given the image identification number.
      
For flower image identification and retrieval, we need to segment the flower regions from the background before we can accura tely describe flowers.
      
Image identification and colour channel association are summarised in Table 1 and Figure 4.
      
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