相似檢定 的英文怎麼說

中文拼音 [xiāngsìjiǎndìng]
相似檢定 英文
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  • 相 : 相Ⅰ名詞1 （相貌; 外貌） looks; appearance 2 （坐、立等的姿態） bearing; posture 3 [物理學] （相位...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 相似 : 1. （相像） resemble; be similar; be alike 2. （相像處; 類似物） similarity; similitude; analogue
  • 檢定 : docimasy; docimasia; verification; calibration; appraisal檢定報告 probation report; 檢定滴定管 [...
  1. Document similarity search is to find documents similar to a given query document and return a ranked list of similar documents to users, which is widely used in many text and web systems, such as digital library, search engine, etc. traditional retrieval models, including the okapi s bm25 model and the smart s vector space model with length normalization, could handle this problem to some extent by taking the query document as a long query

    文檔相似搜索指從文檔集中檢索與給定查詢文檔相似的文檔。對于給定的查詢文檔，我們期望文檔相似搜索系統能夠返回一個按相似度排序的相似文檔列表。文檔相似搜索技術已經被廣泛應用到電子圖書館，搜索引擎等系統中，例如citeseer . ist科學文獻數字圖書館的相似文獻推薦功能， google的相似網頁查詢功能等。
  2. We adopt local context analysis to extract characteristic words from the documents retrieved by a user query, then apply subsumption approach and resemble approach in discovering terms relationships. the dynamic knowledge is composed of these extracted terms and term relationships, as well as user ' s feedback information. dors expands user ' s query according to the dynamic kno wledge

    我們採用局部上下文分析法從檢索結果中提取與查詢相關的特徵詞，然後採用包含方法和相似方法判定這些特徵詞之間的相關關系，並利用所提取的概念與概念之間的關系以及用戶的反饋信息動態地構造和更新知識庫。
  3. In this paper, we propose the chord - distribution - based image description, and research the image retrieval algorithm based on this description. the main work of the paper consists of two part that are the feature description about image and the algorithm of image retrieval. in the first part, we propose the definition of region - chord, the presentation of chord - distribution, and describle image after analyzing the properties of chord - distribution. in the second part, after partitioning image and counting region - chord - distribution, we analyse the forground and background of image to each region and propose the criterion of the similarity of images

    論文的主要工作由圖象特徵描述和圖象檢索演算法兩部分組成。在圖象特徵描述部分，我們給出了區域弦的定義和區域弦分佈的表示，分析了弦分佈的性質，並在此基礎上進行了圖象特徵描述。在圖象檢索演算法部分，本文首先作了圖象區域劃分、區域弦分佈的計算；其次對區域作了前景、背景分析並給出了圖象間的相似性度量。
  4. The cloning cdna fragment was extracted from positive clones and sequenced. the results showed that the cdna fragment was 816bp in size, encoding a protein which included 272 amino acids. the sequence homology analysis was carried out via the software blast 2. 0 network service in the four large databases - genbank, embl, ddbj, pdb, which had recorded 1 337 978 nucleotide and protein sequences. the results of the analysis indicated that the nucleotide homologous rates between the rubber tree etr and 15 recorded etrl of other plants ( mango, passion fruit, persia plum, strawberry, grape. . etc ) were 75 % - 80 % ; the protein homologous rates between the rubber tree etrl and these recorded etrl genes were 90 % - 95 %. from the results mentioned above, we could confirm that the cdna of rubber tree etrl had been cloned

    從陽性克隆子中提取克隆片段，經序列測定分析，結果表明，克隆片段的cdna大小為816bp ，編碼的蛋白質包含272個氨基酸。基因序列通過blast2 . 0networkservice軟體對genbank ， embl ， ddbj ， pdb四個大型數據庫中記錄的1337978條核酸和蛋白質序列進行序列相似性檢索，結果表明與芒果、一西番蓮、波斯梅、草毒、葡萄、西洋梨等15種已報道的植物的etrl基因cdnag的同源率為75 88 ；蛋白質氨基酸序列的同源率為90 95 ，表明本研究確實克隆到了橡膠樹etri基因的cdna序列。 4
  5. A fuzzy image data model and a concept of fuzzy space are proposed, in which model visual feature, spatial feature and semantic feature are used for super feature in order to utilize advantage of traditional relation database as well as characteristics of image data and fuzzy retrieval. based fuzzy space, a method of similarity measurement of image is presented to support fuzzy features - based image retrieval and satisfy user ' s query requirement for image. in the thesis, a semantic template and the mechanism of dynamic relevant feedback are defined so that it can express user ' s query semantic and improve retrieval precision and useable capability for image retrieval

    研究了模糊檢索方法和相關反饋機制在圖象檢索中的應用，提出了一種模糊圖象數據模型和模糊空間的概念，該模型將可視特徵、空間特徵、語義特徵看作超屬性，既充分利用了傳統關系數據庫的優點，同時又考慮了圖象數據以及模糊查詢的特點，文中提出的模糊空間和模糊相似性度量方法能支持基於模糊特徵的圖象查詢，較好地體現用戶圖象查詢的應用需求，文中定義的語義模板和相關反饋機制能在一定程度上表達用戶的查詢語義，提高圖象檢索的準確率和易用性。
  6. 2. defining the entropy space of image and entropy difference, the concept of information entropy is applied to image retrieval. some mathematical properties of entropy are studied, and similarity measurement of image entropy and corresponding algorithm is presented. these techniques can reduce the dimensionality of histogram space from n to l ( n > l ), increase the image retrieval efficiency, and improve the capability of image retrieval system

    將信息論中的信息熵概念引入圖象檢索，定義了圖象墑空間、熵差的概念，研究了圖象熵的性質，探討了基於圖象熵的相似性度量方法和實現演算法，該方法可將n維直方圖空間變為1維，提高了圖象檢索的效率，改善了圖象檢索系統的性能。
  7. The ontology is domain specific and includes a list of keywords organized by degree of importance to the categories of the ontology, and by means of semantic knowledge. the ontology can improve the effects of document similarity measure and feedback of information retrieval systems

    該本體面向特定領域，將關鍵詞以不同權值對應于各分類類目，通過其語義知識來改進文本相似性測度以及信息檢索系統的效果。
  8. A method that combines category - based and keyword - based concepts for a better information retrieval system is introduced. to improve document clustering, a document similarity measure based on cosine vector and keywords frequency in documents is proposed, but also with an input ontology. the ontology is domain specific and includes a list of keywords organized by degree of importance to the categories of the ontology, and by means of semantic knowledge, the ontology can improve the effects of document similarity measure and feedback of information retrieval systems. two approaches to evaluating the performance of this similarity measure and the comparison with standard cosine vector similarity measure are also described

    介紹了一種綜合各層級分類類目和對應關鍵詞來構造概念體系並用於改進信息檢索系統效果的方法.為了改進文本聚類的效果，提出了將領域知識本體和文本關鍵詞詞頻相結合的基於餘弦向量的文本相似性測度方法.該本體面向特定領域，將關鍵詞以不同權值對應于各分類類目，通過其語義知識來改進文本相似性測度以及信息檢索系統的效果.進一步給出了對基於本體的相似性測度方法進行效果評價的2種策略以及該方法與經典餘弦向量測度方法的比較結果
  9. 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。
  10. Based on the characteristic of image data, a quick index technology of large numbers of data is presented. it classifies and assembles the similar images by particular arithmetic, so reduce the range when searching, therefore you can find the object images quickly and exactly

    由圖像數據特點，提出一種大容量圖像數據的快速索引技術，其基本思想是把相似的圖像通過特定的演算法聚合在一起，從而大大地縮小圖像搜索的范圍，達到快速、準確檢索到目標圖像的目的。
  11. Both eckel and johnson point to a similar list of problems with checked exceptions ; some are inherent properties of checked exceptions, some are properties of the particular implementation of checked exceptions in the java language, and some are simply observations about how the widespread misuse of checked exceptions has become such a significant problem that perhaps the mechanism needs to be rethought

    Eckel和johnson都指出了一個關于檢查型異常的相似的問題清單；一些是檢查型異常的內在屬性，一些是檢查型異常在java語言中的特定實現的屬性，還有一些只是簡單的觀察，主要是關于檢查型異常的廣泛的錯誤使用是如何變為一個嚴重的問題，從而導致該機制可能需要被重新考慮。
  12. It is an important problem to determine the weights of the features for calculating similarity matching. this paper adopts a novel method to assign feature weights

    案例特徵的權重分配是相似性檢索中的重要問題，本文研究了一種組合賦權法的權系數確定方法。
  13. To manage large - scale xml documents with complicated structure, this dissertation focus on the efficient structural indexing algorithm for xml data, result size estimation problem for xml structure based query optimization, result relevance ranking algorithm, and infrastructure for xml query processing for both text - rich and data - rich xml documents. to address the aforementioned issues, this dissertation makes the following contributions. first, it investigates the drawbacks of existing indexing algorithm for xml data, and propose a dynamic indexing algorithm for xml data based on d - bisimilarity, difx

    為滿足結構復雜、大規模的xml數據管理需要，本文深入研究了xml信息檢索系統中的結構索引演算法設計和結構化查詢優化中的查詢代價估計問題，以及查詢結果和查詢條件間的相關度演算法，主要取得了4個方面的成果：第一，分析了已有的xml數據索引演算法中存在的問題，提出了一種高效的動態xml結構索引演算法difx ，它採用動態後向結構相似性（ d - bisimilarity ）的概念，可以根據實際查詢需求以及索引最優化的要求動態決定索引中保存的結構信息。
  14. In chapter 2 of the paper, we give the mathmatic definition of self - similar process, give out its some characteristics on the mathematic with physics and introduce how to examine the process if it is the self - similar process. the last, we compare some examination methods concisely

    論文第二章在給出了自相似序列數學的定義，並給出了其在數學與物理上的一些特徵，其後介紹了怎樣檢測一個序列是否是自相似的，並對各種檢測方法進行了扼要的比較。
  15. Based on the gradual intensity change of the image, a new redefinition of the region of usan and a more efficient and simple method to compute the region area are suggested. and thus a new corner detection algorithm rsusan ( redefined susan ) is proposed

    根據圖像邊緣灰度的漸變性，重新定義角點檢測susan （ smallunivaluesegmentassimilatingnucleus ）演算法中小核值相似區的定義，並找到一種更為簡便有效的計算小核值相似區面積的方法，在此基礎上提出了rsusan （ redefinedsusan ）角點檢測演算法。
  16. The main contents of the study include such aspects as follows : ( 1 ) the moving vehicle auto - detecting grid arithmetic is studied and presented on the basis of the idea of the image difference arithmetic. the moving vehicle is detected whether or not to enter the field of view by calculating the grid dissimilarity between the current frame image and the reference frame image. dsdr ( dissimilarity descend rate ) is defined, and by calculating it the position of the moving vehicle in grids can be determined exactly, so the vehicle model image can be saved conveniently

    本文所進行的研究主要包括以下方面： （ 1 ）在圖像差分演算法基礎上，研究提出了運動車輛自動檢測的柵格演算法，該方法通過計算當前幀與參考幀對應柵格的不相似度來檢測是否有運動車輛進入視場；定義了不相似度下降率dsdr ，基於此，可以比較準確地確定出運動車輛在柵格中的位置，並可方便地將車輛圖像作為模板保存下來。
  17. Shape - based image retrieval is a key technology in content - based image retrieval. there are three important issues involved in shape similarity retrieval : feature extraction, similarity measure and feature matching. on these issues, overall analysis and commentary has been carried on

    本文著重從形狀特徵的提取、相似度量準則的定義和匹配策略的運用三方面對基於形狀特徵的圖象檢索技術進行了全面的分析和評述。
  18. Time series is a kind of important data existing in a lot of fields, such as stock, weather, etc. with time moving, this data of time series will explode increasing. so it is important and challenging subject to research how discovery valuable knowledge in large - scale time series database, and how to search based similarity while user give a graphic query pattern

    因此，對這些海量的時序數據如何進行有效的知識發現，挖掘其內在的各種變化模式：對于用戶給定具有各種抽象含義的變化模式，如何在海量時間序列庫中進行相似性的檢索等應用分析，這是一個挑戰性的、具有重要意義的理論和實際應用課題。
  19. We do researches on constructing normal model of network traffic, analysizing self - similarity of network traffics - hurst parameter, and its time variable function h ( t ). experimental analysis confirmed the validity of the novel mechanism, limiting the extent of network traffic in time and detecting the ddos attack through measuring the change of h parameter brought by the attacks. moreover we use database to refine the ddos attack

    主要成果為： （ 1 ）對網路流量的自相似性? hurst參數、 hurst參數的時變函數h （ t ）進行分析，建立正常網路流量模型，比傳統的特徵匹配更準確描述了網路流量的特性； （ 2 ）通過實驗驗證了，基於正常網路流量模型，對網路流量進行實時限幅，由自相似性的變化來預測ddos攻擊方法的正確性； （ 3 ）對于不同的攻擊方式，我們使用不同的方法進行檢測，並用數據庫對流經的包頭信息進行統計分析，來對攻擊定位。
  20. According to principles and human perception of color, a hsl ( hue saturation light ) color space, which is perceptively consistent with human vision, is selected and divided. the similarity between two colors is re - defined in order to accord with human discernment for colors. the method of extending color histogram is presented to match images with different colors

    從人類色彩感知的角度出發，研究了用於圖象檢索的色彩空間，特徵提取和相似性度量等問題，將hsl色彩空間進行了劃分，對每兩種色彩之間的相似度進行了重新定義，便其更好地符合人對圖象色彩的辨別能力。
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