similarity measure 中文意思是什麼

similarity measure 解釋
相似測度
  • similarity : n. 1. 類似，相像，相似。2. 類似點；類似物，相似物。
  • measure : n 1 尺寸，尺度，量，分量；【數學】測度；度量法；計量單位。2 量具，量器。3 （衡量）標準，準繩；程...
  1. Fractal coding has been proved useful for image compression. it is also proved effective for content - based image retrieval. in the paper, we present a block - constrained fractal coding scheme and a matching strategy for content - based image retrieval. in this coding scheme, an image is partitioned into non - overlap blocks of a size close to that of a query iconic image. fractal codes are generated for each block independently. in the similarity measure of fractal codes, an improved nona - tree decomposition scheme is adopted to avoid matching the fractal codes globally in order to reduce computational complexity. our experimental results show that our coding scheme and the matching strategy we adopted is useful for image retrieval, and is compared favorably with other two methods tested in terms of storage usage and computing time

    分形編碼在圖像壓縮方面取得了很好的效果，同時，分形編碼也能夠用於基於內容的圖像檢索.本文提出了一種基於塊限制的分形編碼演算法和匹配策略，並將它們用於圖像檢索.在我們編碼演算法中，圖像會被預先分成互相不重疊的子圖像塊，然後對這些子圖像進行獨立地分形編碼，從而獲得整幅圖像的分形碼.該編碼演算法能夠在很大程度上減少編碼時間.在進行圖像間相似性的匹配時，我們採用改進的基於九叉樹的分配策略，從而避免全局地進行分形碼的匹配，減少了計算量.實驗結果說明，我們的編碼演算法和匹配策略能夠比較有效地應用於基於內容的圖像檢索，在計算時間和存儲時間上都優于實驗中其它兩種方法
  2. 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。
  3. Similarity measure between shapes based on spatial fuzzy representation

    基於空間模糊化表示的圖形相似性測度
  4. Two approaches to evaluating the performance of this similarity measure and the comparison with standard cosine vector similarity measure are also described

    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。
  5. 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

    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。
  6. In this thesis we analyse this situation. then we normalized the mutual information, which testified an overlap invariant measure, so we use normalized mutual information ( nmi ) as a new similarity measure

    通過與其它幾種相似性測度的比較，該方法對圖像重疊區域的變化具有不變性，從而使配準更具魯棒性。
  7. When dealing with multimodality medical images, we investigated the best matching parameters by applying mutual information as the similarity measure and hybrid optimization algorithm as the search strategy

    對于多模醫學圖像，以互信息作為相似性測度，使用混合優化演算法搜索出最佳配準變換參數，將待配準圖像進行變換，從而達到配準的目的。
  8. 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。
  9. 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
  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. 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。
  13. Using these methods, similarity measure to simple concave polygons has been realized

    綜合考慮了形狀、位置、方向、大小因素的影響，實現了凹多邊形的匹配。
  14. For each high frequency affix head, its morphological rules are automatically derived. the semantic types of their modifiers are obtained as the restriction on the rules for compounds. then the propriety of an unknown compound is estimated by the similarity measure between the semantic class of its morpheme and the semantic restriction posted in the respective rules

    我們以復合詞為例，從語料庫中，自動抽取各類復合詞中的詞干意類，用以訓練規則，透過比對一未知詞詞干意類與規則意類間的相似度，判斷其是否為合理的復合詞。
  15. A new similarity measure ot generalized fuzzy numbers

    給出全有限測度空間
  16. Similarity measure based on center phrase and word weight

    基於中心短語及權值的相似度計算
  17. 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。
  18. This situation makes the quality of recommendation systems decreases dramatically. to address this issue, we proposed a collaborative filtering recommendation algoritm based on item rating prediction. this method predicted ratings of un - rated item by the similarity of items, and then the nearest neighbors of target user were calculated with a new similarity measure method

    針對用戶評分數據的極端稀疏性，本文提出了基於項評分預測的irprec協同過濾推薦演算法，通過計算項之間的相似性，初步預測用戶對未評分項的評分，然後採用一種新穎的相似性度量方法計算用戶的最近鄰居。
  19. A similarity measure combining multiple features and layout is also presented. two attributed graph match methods based on local searching and genetic algorithm are proposed to meet the occasions of different applications. ( 3 ) a static image retrieval testing system is designed and implemented

    （ 3 ）設計並實現了靜態圖像檢索實驗原型系統，包括：提出了圖像內容的分層描述模型；設計實現了基於自組織神經網路聚類技術的樹狀多特徵索引結構；提出了一種新的相關反饋模型。
  20. Based on triangular membership functions, this paper studies the relationship between the overlapping degree, the selected feature subsets and the veracity of using these feature subsets in sorting the different similarity measures on optimal feature subset selection based on fuzzy value, and finds a more adaptable similarity measure for the optimal feature subset selection method based on fuzzy value

    在三角形隸屬度函數的基礎上，研究了基於模糊值的最優特徵子集選取演算法的不同相似性度量公式得出的類間交疊度、選取的特徵子集以及該特徵子集用於分類的準確性之間的關系，找到了比較適合於基於模糊值的最優特徵子集選取演算法的相似性度量公式。
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