過濾檢索 的英文怎麼說

中文拼音 [guòlǜjiǎnsuǒ]
過濾檢索 英文
green light sites
  • 過 : 過Ⅰ動詞[口語] （超越） go beyond the limit; undue; excessiveⅡ名詞（姓氏） a surname
  • 濾 : 動詞（除去液體雜質） filter; strain
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 索 : Ⅰ名詞1 （大繩子; 大鏈子） a large rope 2 （姓氏） a surname Ⅱ動詞1 （搜尋; 尋找） search 2 （要; ...
  • 過濾 : [工業] filter; filtrate; screening; colation; filtration; filtering; lautering; colating; straini...
  • 檢索 : retrieval; retrieve; search; searching
  1. The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。
  2. Subject lists promote the echoness of retrieval and filer the robot ' s harvesting

    主題詞表可改善檢索的效率，在信息發現中過濾信息。
  3. Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years. it has a lot of applications in virtual reality, smart surveillance system, advanced user interface, motion analysis and video compressing, etc. this paper focuses on the technology of human motion tracking based on video, first, we make a summarization of the domestic and overseas status of the research in this field. on the basis of this, we analyse the technical difficulties of human motion tracking. as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs, this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences, in which we analyse the features of walking people, track the five joints of lower limbs, get various parameters, and then re - construct the walking process. the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton. first we divide the video into continuous image sequences, after background subtraction, the satisfying human region could be extracted, then we get a single - connected region by converting the rgb image to binary image and median filtering. afterwards, the contour of lower limbs in the frame with a widest boundingbox is detected, using sobel operator, to find the ankle joint of leg behind according to the features and rules of walking, then, the joint of knee of leg behind, hip, ankle of leg in front, knee of leg in front could be got in turn. so, model of leg skeleton is constructed

    首先將視頻分解成許多連續的靜態圖像幀，經過背景去除，把感興趣的人體區域提取出來，通過二值化，中值濾波等預處理方法得到只有人體的一個單連通區域，然後用sobel運算元檢測出boundingbox最寬幀中人體下半身的輪廓，根據運動規律及特徵找到後腿踝關節點，結合從boundingbox最窄幀中所獲取的腿長依次得到後腿膝關節，跨部關節，前腿踝關節，前腿膝關節四點，從而構建出腿部骨架模型。 2 ）實現了人體步行腿部骨架的跟蹤演算法。在完成對腿部骨架模型的自動初始化之後，本文對跨關節、膝關節及踝關節分別採用運動建模、圓周相交定點演算法、運動預測及預測點周圍搜索rgb相似矩形塊三種方法確定每一幀中其實際坐標，從而重構出腿部骨架的運動過程。
  4. The thesis puts on emphasizes on section two and three. in section two i manage to relate the techniques on personalized information retrieval in digital library including agent, filtering and push

    在第一部分介紹的基礎上，第二部分重點闡述了數字圖書館個性化信息檢索的相關技術，包括分散式智能體agent技術、信息過濾技術和信息推送技術。
  5. Then it presents the design of information push service based on agent by using artificial intelligence technique. a brief introduction of each function module in this system and their internal transaction sequence are followed. the detail design and implement of key parts in each module is also given, which includes setting up user interest model with vector space model, searching information by using word segmenting and searching engine, filtering information using sorting algorithm, ordering information using pagerank algorithm

    本文首先分析了傳統的信息「拉取」方式存在的主要問題以及推送技術的產生;然後結合人工智慧領域的agent技術，提出了基於agent的信息推送服務的總體設計，並簡要闡述了各功能模塊的內部處理流程和思想;接著給出了各模塊的詳細設計與實現，主要包括:利用向量空間模型（ vectorspacemodel ）建立用戶興趣模型，通過分詞並與搜索引擎協作實現信息檢索，採用分類演算法對已檢索的信息進行過濾，用pagerank演算法對信息排序。
  6. Journal of software, 1999, 10 : 631 - 635. 69 li jian, wang zuo - ying

    中文搜索引擎已經廣泛提供網際網路信息的自動收集過濾檢索導航等服務。
  7. With the development of research and application in information retrieval ( ir ), the ir technology is divided into question / answer, web, interactive and text filter and so on

    隨著信息檢索技術研究的深入和應用的擴大，用戶對檢索的要求越來越細，研究者將全文本檢索技術已經細分為問答式檢索，網路檢索，互動式檢索，文本過濾等。
  8. Automatic texts classification is an intelligent technology of information processing, and the foundation of text retrieval, which applied to news categorization, electronic conference, e - mail categorization and information filtering etc. automatic texts classification plays an important role in traditional intelligence retrieval, foundation of web index architecture, web information retrieval, and so on

    文本數據分類是一項重要的智能信息處理技術，是文本檢索技術的基礎，在新聞機構分類、電子會議、電子郵件自動分類和信息過濾等方面極具應用價值。文本數據分類在傳統的情報檢索、網站索引體系結構的建立和web信息檢索等方面也佔有重要地位。
  9. The second part discuss the basic internet information retrieval techniques, such as information push - and - pull technique, data mining technique, information filtering technique, natural language processing technique and so on

    如信息推拉技術、數據挖掘技術、信息過濾技術、自然語言處理技術等等，旨在弄清網路信息檢索的技術支撐，為預測網路信息檢索的發展趨勢作下鋪墊。
  10. Information filtering is a unique and active information service mechanism, a useful supplement to the traditional information retrieval service

    信息過濾（ infonnationfiltering ）是一種個性化的、主動的信息服務機制，是對傳統信息檢索服務的有益的補充。
  11. In the personalized learning system, the difficulty of design and implementation includes two aspects : discovering personality from user learning behavior, retrieval among or filtering from learning objects and then composing personalized instruction

    本文研究的個性化信息過濾技術用於個性化網路學習環境，技術實現的難點體現在兩個方面：用戶學習行為個性識別和學習對象的個性化檢索與發送。
  12. Contrasted to traditional information retrieval pattern, if technology has higher extensibility and it can fit for large scale of users and huge information, and can provide timely and individuated information services for users. if has intelligence to a certain extent and higher roboticized degree

    相比于傳統的信息檢索模式，信息過濾技術具有較高的可擴展性，能適應大規模用戶群和海量信息；可以為用戶提供及時、個性化的信息服務；具有了一定的智能和較高的自動化程度。
  13. In system design, we present dispatcher tactics of member search engine that user fond of. these member search engines on the basis of mobile agent, which provide an environment for parallel processing, take full advantage of ontology which expands the requirement of users to the semantic words set and provide the document analyzer that can filter the web pagers returned by the search mobile agent according to the certain algorithm. consequently wiirs presents the most relevant documents to the user

    為提高系統的性能和易用性，還給出了基於用戶偏好的成員搜索引擎的調度策略，在成員搜索引擎系統結構中，不僅利用本四川大學碩士學位論文體論中概念規范、語義豐富的特點，將用戶的檢索要求擴充成語義集，並且將檢索到的文檔通過文檔分析器進一步過濾，最終得到與用戶檢索要求內容匹配度較高的文檔，而且提供了一個并行處理的環境來顯著提高搜索效率。
  14. Text filtering is a technology that can retrieve the text documents which satisfy the user ’ s requirement in the dynamic documents stream

    文本過濾是從動態的文檔流中，檢索出符合用戶需求文本的一種技術。
  15. Gridserver s apis group basic computing models into classes for " tasks " fundamental work unit, " jobs " group of work units performed in parallel, and " datasets " data repositories spread across a cluster for parallel searching and querying as well as supporting classes used for task filtering, administration, and so on

    Gridserver的api將基本的計算模型按照「工作」 （基本工作單元） 、 「任務」 （并行執行的一組工作單元）和「數據集」 （遍布整個集群的數據存儲，用於并行檢索和查詢）劃分成類，同時還提供支持工作過濾、管理等的類。
  16. To realize the individuation service of web information, we need many domanial theoretics and techniques, for example, mostly, information searches, information filtration, computer network, distributed disposal, database manage system, data mining, numeric library, disposal ofnarural language, artificial intelligence, machine learning and so on. thus, to realize the individuation service of web information, we will be encountered great challenges and we have to do a compositive and hard task

    要實現web的個性化服務，涉及到許多領域的理論和技術，主要有信息檢索、信息過濾、計算機網路、分散式處理、數據庫、數據挖掘、數字圖書館、自然語言處理、人工智慧和機器學習等，所以要實現web的個性化服務具有綜合性和挑戰性。
  17. Methods in space / frequency domain : a group of gabor filters are used in texture - based image retrieval ; by analyzing how the energy changes with the decomposing of wavelet, tree - structured wavelet transform in texture - based image retrieval is selected to use. as for similarity measurement of texture - based image retrieval, this paper demonstrates two data models related to the similarity measurement and proposes two kinds of multi - feature combination structures

    在空間頻域聯合的方法中，將構造的一組gabor濾波器用於圖象紋理檢索；通過分析紋理圖象經過小波分解后的能量變化特點，提出了選用樹型小波分解方法用於紋理檢索，提高了檢索的有效性。
  18. Aiming at the filtering requirements in today ' s educational network, we put forward a solution to realize intelligent filtering using the combination of information retrieval and artificial intelligence techniques in networks

    本課題針對目前教育網中存在的網路過濾需求，提出了利用信息檢索技術，以及人工智慧技術相結合的方案實現網路上的智能過濾。
  19. The method make the loss of the relevant information decrease and make the recall ratio go up. 3. controlling of the anchor - depth can make the system work more efficiently not search anchor greedily

    （ 3 ）研究了檢索中基於深度控制的鏈接過濾方法和下載控制方法，輔助新的相關信息資源的發現，使用戶可以對下載的信息量進行間接的控制，搜集到相關度更大的專題信息。
  20. It make the system work in high crawl efficiency 4. improving on combining content - based and anchor - weight - based filter algorithm, which resolve the problem of “ topic - drift ”. it works well on popular pc and achieves high topic - focused information recall ratio

    （ 4 ）改進了基於內容的文本過濾和基於鏈接結構相結合的過濾策略，有效的改善了檢索中的主題「漂移」和搜索精度不高問題，提高了信息的下載精度。
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