similarity transformation 中文意思是什麼

similarity transformation 解釋
相似變換
  • similarity : n. 1. 類似，相像，相似。2. 類似點；類似物，相似物。
  • transformation : n 轉變，變化；變形；【生物學】（尤指昆蟲的）轉化，變態，改造，改革；變質；【數學】變換；【電學】...
  1. Analyzing the characteristics of the time - series data of horizontal displacement from the continuous gps network in time and frequency domain, the similarity transformation is conducted in order to give prominence to the local deformation by selecting a few stations in the eastern china

    摘要對gps基準站連續觀測水平位移時間序列數據的時頻特徵進行了分析，為了突出局部變化的信息，在中國大陸東部選取一組參考點進行相似變換。
  2. The transformation output includes all input columns, one or more columns with standardized data, and a column that contains the similarity score

    該轉換輸出包括所有輸入列、一個或多個具有標準化數據的列以及一個包含相似性得分的列。
  3. We discussed the main characteristic parameters of seismic kinesiology and dynamics of mine engineering fracture zone, including relative amplitude, phase time of wave crest, similarity factor, principal frequency band energy, 3 - d space time gradient and coherent coefficient et al., and puts forward the processing method of 3 - d seismic characteristic parameters about denoise - smoothing, generalization, correlation analysis, characteristic transformation ; and presents the method of pattern recognition of mine engineering fracture zone

    摘要本文從時間域、頻率域、三維空間域介紹了礦山工程裂隙破碎帶主要的地震運動學、動力學屬性參數，包括相對振幅、波峰相位時間、相似系數、主頻帶能量、二維空間時間梯度和相干系數等，提出了礦山工程裂隙破碎帶三維地震屬性的去噪平滑、歸一化、相關分析、特徵變換的處理方法以及裂隙破碎帶的模式識別原理與方法，並用實例說明了該方法的應用效果。
  4. The fuzzy grouping transformation includes two features for customizing the grouping it performs : token delimiters and similarity threshold

    模糊分組轉換包括兩個用於自定義所執行的分組的功能：標記分隔符和相似性閾值。
  5. The fuzzy lookup transformation includes three features for customizing the lookup it performs : maximum number of matches to return per input row, token delimiters, and similarity thresholds

    模糊查找轉換包含以下三項可自定義所執行的查找的功能：每個輸入行可返回的最大匹配項數、標記分隔符和相似性閾值。
  6. In this dissertation, with the aid of many types of constructive transformations and symbolic computation, some topics in nonlinear waves and integrable system are studied, including exact solutions, painleve integrability, backlund transformation, darboux transformation, symmetry ( similarity reduction ), conditional symmetry, lax integrable hierarchy, liouville integrable n - hamilton structure, constraint flow, involutive system, lax representation, r - matrix, separation of variables and integrable couplings. chapter 2 and 3 are devoted to investigating exact solutions of nonlinear wave equations : firstly, the basic theories of c - d pair and c - d integrable system are presented

    本文以構造性的變換及符號計算為工具，來研究非線性波和可積系統中的一些問題：精確解（如孤子解、周期解、有理解、 dromion解及compacton解等） 、 panileve可積性、 backlund變換、 darboux變換、對稱（相似約化） 、條件對稱、 lax可積族、 liouville可積的n - hamilton結構、約束流、對合系統、 lax表示、 r -矩陣、變量分離及可積的耦合系統
  7. 2. the similarity between the phenomenon of light diffraction and the wavelet transformation

    二、光的衍射現象與小波變換的本質相似性。
  8. Based on the similarity configuration, the relationship between configuration and evolutional design was established according to the unit transformation and evolution, and the variant evolution design based on the level configuration was realized

    在二級相似配置基礎上，基於單元的變換與進化，建立配置與進化設計信息的關聯，實現了基於層次配置的變結構進化設計。
  9. This paper investigates construction of orthogonal multiwavelets and a condition for approximation order of m - band multiscaling functions in frequency domain, introduces m - band scale similarity transformation ( mst ). one can increase the approximation order of multiscaling function with help of mst

    本論文研究了正交多小波的構造， m帶多尺度函數的逼近階頻域條件，引入m帶尺度相似變換（ mst ）並利用其提高m帶多尺度函數的逼近階。
  10. 3 - d geometric matching and similarity research aims to achieve recognition, similarity measurement, and matching of 3 - d geometric objects, by means of object analysis, transformation, and feature extraction

    三維幾何匹配與相似性技術研究是通過對三維幾何模型的分析、變換、特徵提取等手段來實現對幾何模型的識別、相似性度量、匹配等。
  11. Law of similarity transformation

    相似變換定律
  12. The similarity transformation on fractal color image and the related compression algorithm

    分形彩色圖像壓縮中的相似變換及其壓縮演算法
  13. " similarity transformation methods in the analysis of the two dimensional steady compressible laminar boundary layer, " by yeunwoo cho and angelica aessopos ( pdf ) ( courtesy of yeunwoo cho. used with permission

    您對麻省理工學院開放式課件網站及課程資料的使用應符合我們法律聲明中的相關條款。
  14. The original image is divided into non - overlap square domain block collection and range collection, which is fourfold the domain block. to every domain block, the best self - similarity transformation is gained by matching the found best similar range block, the parameters of the gained best domain block ' s transformations are the image compression code. the fourth chapter discusses and implements fractal image compression method based on region partit ion

    在第三章中討論並實現了基於子塊劃分的分形圖象壓縮方法，這種方法將原始圖象劃分為不重疊的正方形值域塊集和四倍大小的正方形定義塊集，對于每一個值域塊，在定義塊集中通過最佳匹配找出最相似的定義塊，通過匹配得到值域塊的最佳自相似變換，對所在值域塊的最佳自相似變換參數編碼實現圖象壓縮。
  15. At run time, the score columns in transformation output contain the similarity scores for each row in a group

    在運行時，轉換輸出中的得分列包含組中每行的相似性得分。
  16. After the image lifting wavelet transformation, its coefficients have some characteristics, for example : the frequency compression characteristic, namely the primitive image energy majority of gathers to the low frequency sub - belt ; spatial compression characteristic, namely high frequency sub - belt energy majority of centralisms in primitive corresponding and so on image edge, outline position ; the coefficient distribution similarity, namely in the

    經提升小波變換后，其系數具有如下特性:頻率壓縮特性，即原始圖像的能量大部分聚集到低頻子帶;空間壓縮特性，即高頻子帶的能量大部分集中在原始圖像的邊緣、輪廓等對應的位置;系數分佈相似性，即同一方向上各級子帶系數幅值分佈大體一致。
  17. The similarity score is a mathematical measure of the textural similarity between the input record and the record that fuzzy lookup transformation returns from the reference table

    相似性得分是一個數學度量值，表示輸入記錄與模糊查找轉換從引用表中返回的記錄之間在結構上的相似程度。
  18. In this paper, we first established the image metadata used in our system which based on the famous dublin core, then we analyzed the abstraction and description visual features of image such as color texture and shape. next, we discussed the problem of similarity measure of visual feature, imported fuzzy logic into the distance feature and pointed out the disadvantages of geometry space based methods. for multi - dimension vector ' s high dimension nature, it ' s hard to index with traditional methods, we discussed how to lower the dimension using clustering and klt transformation

    本文首先在dublincore的基礎上制定了適合我們要求的圖像元數據集；詳細分析了顏色、紋理、形狀等視覺特徵的提取和表示方法；探討了圖像視覺特徵相似度量的問題，將模糊技術引入直方圖的距離度量，分析了幾何空間距離度量函數的不足之處，提出了系統中採用的距離函數；針對圖像視覺特徵向量的多維特性，分析了現有的各種降維技術和多維索引技術。
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