分类与识别的英文

• classification and identification

• "分类"英文翻译    classify
• "与"英文翻译    take part in; participate in
• "识别"英文翻译    discriminate; distinguish; d ...
• "分类与命名" 英文翻译 :    clssification and designation
• "故障检测与识别" 英文翻译 :    fdi failure detection and identification
• "通信导航与识别" 英文翻译 :    cni communication navigation and identification
• "地面发射定位与识别系统" 英文翻译 :    ground-emitter location and identification system (gelis)
• "防空探测与识别系统" 英文翻译 :    air defense detection and identification system
• "光谱处理与识别计算机" 英文翻译 :    spectral processing and recognition computer
• "快速报警与识别显示器" 英文翻译 :    raid rapid alerting and identification display
• "循环类型测定与识别" 英文翻译 :    measuring and identifying cyclical patterns
• "分类与流行情况" 英文翻译 :    classification and epidemeology
• "疾病分类与代码" 英文翻译 :    classification and codes of diseases
• "数据分类与检索" 英文翻译 :    data qualification and retrieval
• "土壤分类与发生" 英文翻译 :    p32-soil classification and genesis
• "物品的分类与管理" 英文翻译 :    classification of material
• "学科分类与代码" 英文翻译 :    classification and code of disciplines
• "职业分类与代码" 英文翻译 :    classification and codes of occupations
• "地形图要素分类与代码" 英文翻译 :    classification and codes for the features of 1:500 1:and 1:topographic maps
• "公路信息分类与代码" 英文翻译 :    information classification and code for highway
• "固定资产分类与代码" 英文翻译 :    classification and codes for fixed assets
• "国民经济行业分类与代码" 英文翻译 :    industrial classification and codes for national economic activities
• "计算机软件分类与代码" 英文翻译 :    classification and codes for computer software
• "计算机硬件分类与代码" 英文翻译 :    classification and codes for computer hardware
• "经济类型分类与代码" 英文翻译 :    classification and code for economic categories

• Classification and recognition of brain function based on support vector machine
  的脑功能分类与识别方法研究
• Classification and identification
  分类与识别
• A scheme based on dag combining with dt is presented according to the characteristic of tongue manifestation
  摘要本文针对舌色苔色的分类与识别，提出了一种dag和决策树结合的方法。
• Invariant corner detection is a most important preprocessing step for image shape classification and recognition
  摘要在图像形态分类与识别系统中，不变性角点检测是很重要的预处理环节。
• Because the convention air defense radar influences by its inherent performance , its airplane goal automatic sorting and the recognition always is very difficulty in the target identification research area
  常规防空雷达由于受固有性能等影响,其飞机目标自动分类与识别一直是目标识别研究领域的难点。
• 4 , ir object ' s classification and recognition : because of various factors in the process of feature extraction , the feature extracted is polluted certainly by noise , that the feature has certain uncertainty
  4 、红外目标的分类与识别：由于目标特征提取中，受到各种因素的影响，提取的特征不可避免的带有噪声，即是具有一定的不确定性。
• So research in this paper on ommateum contain two points , first researching ommateum like other normal visual system , considering contents including preprocessing of ir images , target image segmentation , feature extraction and target classification ; second researching ommateum ' s special feature
  本文就是从这两点展开讨论研究。首先，把复眼作为一般视觉系统看待，从图像的预处理、图像的分割、特征提取以及目标的分类与识别，这一系列的一般视觉处理过程来考虑。
• Measurement and characterization of surface texture is an important aspect of precision metrology . historically this has involved partitioning a profile into different wavelength regimes referred to as roughness , waviness and form followed by numerical quantization . parameters computed are then inspected for tolerance compliance to ensure a part performs its intended function . this approach is satisfactory when the specification has been carefully determined and the process is stable . however , when the manufacturing process is under development or when instability or modifications to the process invalidate specifications , there is a need to study surface finish parameters in relation to functional performance or process measures . in this context , the problem of surface texture classification and recognition are discussed . advanced techniques developed for this purpose along with applications are presented . also , the techniques discussed here will be useful across large bandwidth , from the characterization of nano scale to traditional micro scale surfaces
  表面结构的测量与特征描述是精密计量技术的一个重要方面,传统上包括将轮廓情况根据不同的波长范围划分为粗糙度、波纹度和形状及后续的数字量化.按算得的参数检查它是否为公差允许,以保证零件执行其指定的功能.当技术特性已经经过仔细确定,并且其过程稳定时,该方法是令人满意的;但是,当制造过程正在进行中或过程的不稳定、过程变化使技术特性失效时,就需要研究和功能表现及过程评定相关的表面参数.讨论了表面结构的分类与识别问题.同时阐述了为此目的而开发的先进技术及其应用.所研究的技术对从纳米尺度到传统的微米尺度的较大带宽范围内的表面特征描述都是有效的