text data retrieval 中文意思是什麼

text data retrieval 解釋
文本數據查詢
  • text : n 1 原文,本文,正文;(文藝學等所說的)文本。2 課文,課本,教科書。3 基督教聖經經文,經句〈常引...
  • data : n 1 資料,材料〈此詞系 datum 的復數。但 datum 罕用,一般即以 data 作為集合詞,在口語中往往用單數...
  • retrieval : n. (可)取回,(可)恢復,(可)挽回;(可)修補,(可)修正,(可)更正;(可)彌補,(可)補償。 beyond retrieval 不能補救的,不能挽回的。
  1. The article does some research of the full text retrieval technology. 1 、 the article summarize the development of the web search technology in the domestic country and aboard. it will refer to not only the common document retrieval in the web, but also the query of concept information, hypertext information, multimedia information and the data mining

    本文對全文檢索技術進行了以下幾方面的研究: 1 、介紹了國內外檢索技術的發展過程,討論了普通文本檢索、概念信息檢索、超文本信息檢索、多媒體信息檢索、數據挖掘等的技術特點。
  2. As far as known, the most common way for searching data is text - based retrieval

    我們目前所接觸到的檢索主要是基於文本的檢索方式。
  3. But at present, the management and retrieval of the video data are all generally based on attribute or text describe. because of lacking content grade information, the users are facing a lot of restrictions

    然而目前對視頻數據的管理、組織和檢索一般都是基於屬性或文本描述的,由於缺乏內容級信息而使用戶查詢受到很多限制。
  4. The software bases on unicode and cjk + which included chinese, japanese and korean characters and can run well on multilingual windows systems ( include simplified chinese, traditional chinese, japanese, korean and english ) only with single data and single binary. e - sibucongkan ' s server provides powerful full - text retrieval engine and simplified / traditional / variant chinese characters association or hyperlink for retrieval and checking

    0 )和中、日、韓漢字大字符集文字平臺C J K的基礎上,經過切分、 ocr 、軟體校對處理,使一套數據一套軟體,能夠運行於多文種視窗平臺(即在中文簡體、中文繁體、日文、韓文和英文等不同視窗平臺運行同一數據和軟體) 。
  5. Firstly, the paper introduces the main theoretics and technologies of the web information retrieval. then it applies the spider to realize the information gathering. according to characteristic of uighur language, using uighur stemming based on table searching regular and arithmetic of the combined mode, uighur text segmentation is realized ; using vector space model, the paper switches uighur text information into structured data ; and appling clustering analytical method, these structured text is clustered

    本文首先分析了web信息檢索的主要理論基礎和關鍵技術,然後利用spider信息採集技術,實現了信息檢索的源信息採集;根據維吾爾語詞的特點,利用詞干表查找的維文詞干提取演算法和結合模式的維文詞語組合演算法,對維文網頁文本進行詞特徵表示;採用向量空間模型實現文本信息的結構化表達;使用聚類分析法,對結構化文本信息進行聚類,得到文本分類結果。
  6. Content - based image retrieval ( cbir ) systems attempt to solve this problem by retrieval system based on text mode, become one of most active researches in computer vision, image and video processing, data mining and so on. currently the researchers have already designed many content based image retrieval systems. while these researches establish the basis of cbir, the retrieval performance is still far from users ’ expectations

    本文詳細介紹了圖像檢索中常用的特徵,包括顏色、形狀、紋理等及相應的提取方法,對現有的圖像分割演算法進行了研究分析,使用了一種基於圖像顏色和空間信息的彩色圖像分割演算法作為圖像的自動分割演算法,演算法的分割結果與人的主觀視覺感知具有良好的一致性。
  7. For the non - structured image data, the traditional text - based image retrieval is so inefficient and thereby the content - based image retrieval is bought forward and it has developed a lot

    對于非結構化的圖像數據,傳統的基於文字的檢索方法效率很低,為此人們提出了基於內容的圖像檢索技術,並且取得了一定的進展。
  8. A large number of images come forth because of the prevalence of multimedia technology and the implementation of internet technology. traditional text keyword - based retrieval approach ca n ' t adapt to the demand of image data retrieval, so content - based image retrieval ( cbir ) technology becomes the current research focus

    多媒體技術的普及和internet技術的實施導致了大量圖像信息的出現,基於文本關鍵詞的傳統檢索方法已經不能適應圖像信息檢索的要求,這使得基於內容的圖像檢索技術逐漸成為目前的研究熱點。
  9. Document management ; text mining and data mining ; knowledge management ; artificial intelligence ; natural language processing ; information retrieval ; machine translation ; speech recognition ; multilingual technologies

    檔案管理;文字及數據挖掘;知識管理;人工智慧;自然語言處理;信息檢索;機械翻譯;語音識別;多種語言技術
  10. Demand for effectively managing the huge amount of image data becomes more and more urgent, because traditional retrieval methods based on keyword and description text are not competent for it while resources of images and videos becomes more and more abundant in modern information era

    隨著圖像和視頻資源的日益豐富,基於關鍵字和描述文本的傳統檢索模式已不能勝任使用需要,有效管理海量數據資源的需求變得日益迫切。
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