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database retrieval in Chinese

Pronunciation:
How to pronounce "database retrieval""database retrieval" in a sentence

Translationmobile phoneMobile

  • 數(shù)據(jù)庫檢索

Examples

  • The system implements pipe - line graphic to be build dynamically by using spatial database retrieval technique
    利用空間數(shù)據(jù)庫檢索技術(shù),系統(tǒng)實現(xiàn)了三維管線圖的動態(tài)構(gòu)建。
  • In this thesis , a detailed survey on 3d model retrieval techniques is given firstly , witch include feature extraction , similarity calculation , and database retrieval algorithms
    本文首先對現(xiàn)有的3d模型檢索技術(shù)進(jìn)行了全面的綜述,介紹了這些檢索技術(shù)的特征提取方法、相似度計算、數(shù)據(jù)庫檢索方法。
  • Lastly , a skeleton - based experiment system for image database retrieval is designed and implemented on the basis of the symmetry based object representation and recognition theories . the prospective result is shown
    最后,在基于對稱性的目標(biāo)描述和識別理論的基礎(chǔ)上,建立了一個基于骨架的圖象數(shù)據(jù)庫檢索的實驗系統(tǒng),取得了預(yù)期的效果。
  • Through the analysis on the basic principles and steps of cross - database retrieval system , this paper probes theoretically into the factors of influencing the searching efficiency of cross - database system , and advances some improving measures
    通過分析跨庫檢索系統(tǒng)的基本原理與步驟,從理論上探討了跨庫檢索系統(tǒng)檢索效率的影響因素,并提出了改進(jìn)措施。
  • A basic problem , in such areas as image analysis , computer vision , automatic navigation , diagnosis based on medical image and image database retrieval , is the automatic segmentation , description and recognition of objects in image
    圖像物體的分割、描述、特征提取和識別是圖像分析、計算機(jī)視覺、自動導(dǎo)航、基于醫(yī)療圖像的診斷以及圖像數(shù)據(jù)庫檢索等領(lǐng)域的一個核心問題。
  • Image database retrieval is a hot topic and has attracted increased attention from researchers . it includes several contents such as describing the image visual content ( extracting features ) , image database management , image matching and so on
    圖像數(shù)據(jù)庫檢索是當(dāng)今信息時代人們廣泛關(guān)注的熱點問題,主要包括對圖像內(nèi)容的描述(特征表達(dá)及提取) 、圖像數(shù)據(jù)庫管理、圖像匹配等內(nèi)容。
  • Consequently , the computational cost of the method is low . in addition , the methods presented by the dissertation can also be applied to character recognition , speech segmentation and recognition , obstacle avoidance for robot , image database retrieval and hiding
    本文獲得的成果還可以用于字符的識別、語音分割與識別、機(jī)器人避碰、圖像數(shù)據(jù)庫的查詢與檢索以及計算機(jī)圖形學(xué)中圖形消隱與裁減等許多學(xué)科領(lǐng)域。
  • Today , medical information retrieval is developing into an entirely new type of multi - retrieval system . this thesis includes research on cd and international on - line database retrievals , search engines ( primarily medical search engines ) , and certain parts of chinese search engines with maps , blankets and examples being included
    眾多的醫(yī)學(xué)信息用戶由于不熟悉各種醫(yī)學(xué)信息檢索系統(tǒng)的收錄范圍,沒有針對性地選取相應(yīng)的檢索工具進(jìn)行檢索,同時沒有掌握必要的檢索技術(shù),這導(dǎo)致他們在查找信息的時候出現(xiàn)了事倍功半的情況。
  • Also , i provide the introduction of the various specialties of every kind of retrieval system . comparing cd - rom , international on - line databases , and internet retrieval systems while providing retrieval paths , their ability to support multi - database retrieval , and various other relevant aspects of information retrieval systems . chapter two : chapter two discusses research on medical information retrieval performed over the internet
    介紹了各種檢索體系的特點、國內(nèi)外有影響和常用的代表性的數(shù)據(jù)庫,最后對醫(yī)學(xué)計算機(jī)檢索系統(tǒng)的主要檢索技術(shù)進(jìn)行介紹,并對光盤檢索、國際聯(lián)機(jī)檢索和網(wǎng)絡(luò)檢索從信息量、時差、費用、檢索途徑、是否支持同時進(jìn)行多數(shù)據(jù)庫檢索等方面進(jìn)行比較研究。
  • With the development and application of internet , information service organizations are confronted with both opportunities and challenges . establishing the full - text database retrieval system based on web has become a trend . against this background , the service system for military medical information is designed and constructed
    隨著internet技術(shù)的發(fā)展和應(yīng)用,信息服務(wù)機(jī)構(gòu)遇到了巨大的機(jī)遇和挑戰(zhàn),通過互聯(lián)網(wǎng)面向用戶提供高效、快捷、全方位的信息服務(wù),是當(dāng)前世界范圍內(nèi)信息行業(yè)發(fā)展的新方向,軍事醫(yī)學(xué)信息服務(wù)系統(tǒng)就是在這種環(huán)境下開始研建的。
  • More examples:  1  2
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