相似性度量 的英文怎麼說

中文拼音 [xiāngsìxìngdùliáng]
相似性度量 英文
similarity measure
  • 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...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 相似性 : [物理學] similitude; similarity相似性定律 similar law; 相似性法則 similarity rule
  • 相似 : 1. （相像） resemble; be similar; be alike 2. （相像處; 類似物） similarity; similitude; analogue
  • 度量 : 1. （計量長短） measure; metric; mensuration 2. （寬容人的限度） tolerance; magnanimity
  1. Pattern analysis and machine intelligence, 1992, 14 : 430 - 449. 15 mokhtarian f, mackworth a k. a theory of multi - scale, curvature - based shape representation for planar curves

    第三，定義了一種多尺度的特徵相似性度量，從而把圖像灰度分佈和幾何結構結合在一個完整的框架中。
  2. 12 orrite c, blecua s, herrero j e. shape matching of partially occluded curves invariant under projective transformation. computer vision and image understanding, 2004, 93 : 34 - 64

    此外，匹配的特徵相似性度量結合了非均勻有理b樣條的畸變估計和局部的圖形窗口交叉相關性，從而融合了幾何結構和圖像灰度的相似性。
  3. In the preprocessing stage the method of user and session identification often adopt heuristic algorithm for the being of cache and agent. this induce the uncertainty of data resource. the cppc algorithm avoid the limitation and has no use for complicated hash data structure. in this algorithm, by constructing a userld - url revelant matrix similar customer groups are discovered by measuring similarity between column vectors and relevant web pages are obtained by measuring similarity between row vectors ; frequent access paths can also be discovered by further processing of the latter. experiments show the effectiveness of the algorithm. in the fourth part, this thesis bring some key techniques of data mining into web usage mining, combine the characteristic of relation database design and implement a web usage mining system wlgms with function of visible. lt can provide the user with decision support, and has good practicability

    本文演算法避免了這個缺陷，且不需要復雜的hash數據結構，通過構造一個userid - uel關聯矩陣，對列向量進行相似性分析得到相似客戶群體，對行向量進行相似性度量獲得相關web頁面，對後者再進一步處理得到頻繁訪問路徑。實驗結果表明了演算法的有效性。第四是本文將傳統數據挖掘過程中的各種關鍵技術，引入到對web使用信息的挖掘活動中，結合關系數據庫的特點設計並實現了一個具有可廣西人學頎士學位論義視化功能的web使用挖掘系統wlgms 。
  4. Other tools have been integrated into the software, such as data preprocessing, similarity measurement function selection and data visualization

    該軟體同時具有數據過濾、多種相似性度量選擇、聚類方法選擇和結果可視化等功能。
  5. 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。
  6. The euclidean distance is usually chosen as the similarity measure in the conventional k - means clustering algorithm, which usually relates to all attributes

    傳統的k -均值演算法選擇的相似性度量通常是歐幾里德距離的倒數，這種距離通常涉及所有的特徵。
  7. 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。
  8. 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。
  9. The measurement of similarity between two images based on equal - class

    基於等價類的圖像相似性度量
  10. We also propose a new shape similarity measure which is suitable for our method

    提出了一種適合本文的形狀特徵的相似性度量方法。
  11. Results the monomodal or multimodal images are registrated by the similarity measure based on joint possibility

    結果利用基於聯合概率的相似性度量方法分別實現了同質圖像間、異質圖像間的配準。
  12. As for repeated optimization method, the most important things are the chose of right clustering rules and the similarity measurement between clusters

    就迭代最優化方法而言，最重要的是選取適當的聚類準則和類間相似性度量。
  13. Then, the thesis analyzes how to use color as a cue to track. the color histogram and intersecting algorithm is applied

    詳細分析了如何將顏色作為目標特徵跟蹤:採用顏色直方圖表示目標顏色特徵，由直方圖相交演算法得到顏色相似性度量。
  14. Key issues in cbir include extracting features from raw images, matching query and stored images in a way that reflects human similarity judgment

    本論文主要針對如何描述圖象內容，準確、自動地提取特徵，以及精確地對圖象內容進行相似性度量。
  15. The proposed classification method consists of two key processing stages : the improved constrained search on an interpretation tree and the following shape similarity measure computation

    所提的物體分類方法主要包括2個核心處理模塊，即改進的約束解釋樹搜索和形狀相似性度量計算。
  16. In similarity measurements mentioned above, the paper analyses the drawback of bin - by - bin - form distance and cross - bin - form distance. the best - weight distance is presented which matches human vision as well as possible. also, the principle of the distance is based on transport problem

    在進行特徵的相似性度量時，本文分析了一一映射距離和交叉映射距離的不足，提出了基於人類識別比較特點的最優權值度量距離，利用運輸問題的計算方法對該距離的實現找到了理論依據。
  17. The fuzzy distance is defined to measure the similarity of two elements, and the similarity distance of two sequences is defined as the mean of the fuzzy distance of the elements on the mapping path

    2為了度量序列模式的相似性，定義了順序映射來描述序列變化模式之間的對齊，將序列映射路徑上的模糊相似性距離作為兩個序列之間的相似性度量。
  18. To achieve such a hierarchical structure mining, this paper proposed an efficient shot detection algorithm, developed a novel algorithm for measuring video shot similarity and adopt scene change detection ( scd ) to construct video scene based on color, texture and semantic similarity between shots

    摘要為了實現視頻層次結構挖掘，提出了一個有效的視頻鏡頭分割演算法和一種鏡頭相似性度量方法，然後根據鏡頭顏色、紋理和語義相似性採用場景邊界探測演算法構造視頻場景。
  19. It can save many workloads of the next pick - up feature and feature matching. to suffice third dimension effect and reconstruction precision, first, obtain enough feature points by feature picking - up, and then use original matching arithmetic to obtain original matching points by taking covariance as comparability measurement. at last, match step by step that include use loose matching and lemds to remove the wrong matching points

    為滿足真實感效果和重建精度，本文先通過特徵提取和交叉匹配獲得足夠多的特徵點;然後對採集到的特徵點以協方差為相似性度量，利用初始匹配演算法獲得初始匹配點集合;對匹配過程中產生的錯誤匹配點採用鬆弛匹配和最小中值法相結合的方法，進行分步匹配來剔除，滿足了精度要求。
  20. Methods after analysis and generalization the traditional similarity measure of correlation coefficient, propose one new method based joint possibility density function to measure similarity between two images obtained by multisensor, and then test its effect

    方法對傳統的相關系數相似性量度進行深入分析，通過對其推廣，提出一種也適用於異質遙感圖像相似性度量的基於聯合概率的方法，並通過具體的圖像進行實驗驗證。
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