特徵並矢 的英文怎麼說

中文拼音 [tèzhǐbàngshǐ]
特徵並矢 英文
characteristic dyadic
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 並 : 併名詞1. （山西太原的別稱） another name for taiyuan （in shanxi province）2. （姓氏） a surname
  • 矢 : Ⅰ名詞1. （箭） arrow 2. （尿） excrement; dung; feces 3. （姓氏） a surname Ⅱ動詞（發誓） vow; swear
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. In short, vector data take the simplest topological entities - points, lines, and polygons - and anchor them within a 2 - d cartesian coordinate system to describe geographical features

    簡言之，矢量數據利用最簡單的拓撲實體點、線和多邊形，並在二維笛卡爾坐標系統中固定它們來描述地理特徵。
  2. Svm maps input vectors nonlinearly into a high dimensional feature space and constructs the optimum separating hyperplane in the spade to realize modulation recognition

    支撐矢量機把各個識別特徵映射到一個高維空間，並在高維空間中構造最優識別超平面分類數據，實現通信信號的調制識別。
  3. Based on the characteristic of architectural ichnography and criterion of architectural design fires prevention, the recognizing identification method and main program based on dxf format is proposed

    在研究了建築工程圖表示特點和建築設計防火規范的基礎上，給出了基於建築工程矢量圖形文件（ dxf文件）的幾何特徵識別方法，並給出了識別部分的主要程序。
  4. The paper presents several aspects in partition rectification and visualization of raster image. adopt technology of visualization for scientific calculation, vector diagram of deformation 、 contour chart of deformation and drawing of three - dimensional are realized. delaunay tin in view of deformation feature is constructed on base of selected grid control points and methods and mathematical models for partition rectification are realized based on the delaunay tin. software of geometric rectification for large scales are realized and applied in project

    本論文針對柵格影像的變形可視化及分塊糾正展開研究，取得了以下幾方面的研究成果：一、採用科學計算可視化技術，繪制變形矢量圖、變形等值線圖和三維效果圖，實現了柵格影像變形特徵的可視化；二、提出了在格網控制點（ gcp ）數據基礎上選擇性構造顧及變形特徵的delaunay三角網，並基於構造的三角網實現了分塊糾正的方法和數學模型；三、採用vc編制了影像幾何糾正軟體，實現大比例尺掃描地形圖的糾正，並在工程中得到應用。
  5. Dsps is used to accurately detect the moving area of multi - moving objects and information of their geometrical position in the system, at the same time, it pick up the parameters of geometrical feature, gray feature and planar velocity of each area, at last, we integrate the techniques of multi - moving objects detection and construct a self - adapted system to track multi - moving objects. the camera is controlled to keep the object in its field of view. therefore we achieve a real time system to track the multi - moving objects in the complex scenes

    本系統利用dsps精確檢測出多運動目標的運動區域及其幾何位置信息，並對各個運動區域進行幾何特徵參數、灰度特徵參數和運動速度參數的提取，最後根據這些特徵參數值結合多目標運動狀態檢測技術構建了多運動目標自適應跟蹤系統，並根據已經計算出的運動目標的速度矢量，通過雲臺裝置控制攝像頭的轉動，使得特定運動目標始終位於攝像機的視野中，從而完成對復雜背景中多個運動目標中特定目標的實時跟蹤。
  6. Expanding the system ' s hamiltonian to a real symmetric matrix in an appropriate orthogonal basis vector and then diagonalizing it, we get the energy spectrum of the system and calculate the energy level spacing distribution function and the spectral rigidity. then we study the statistical character of the energy spectrum under the changing of magnetic field intension and find that the system ' s motion transfers from regular to chaos gradually

    將系統的哈密頓量在一個適當的正交基矢下展開並對角化，得到系統的能譜，分別計算系統能譜的能級間距分佈函數和譜剛度，研究了該系統量子能譜的統計特徵隨磁感應強度大小的改變而表現出的系統運動由規則到混沌的漸進變化。
  7. An algorithm for detecting moving ir point target in complex background is proposed, which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. firstly, pairs of points with rpfn are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs. in addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1. 5 can be detected effectively

    基於運動點目標在鄰幀差分圖像中所具有的近鄰反相特徵，即運動點目標的兩個位置相鄰近、灰度值一正一負，提出一種在復雜背景下，基於紅外序列圖像的運動點目標檢測演算法.本演算法利用該特徵在鄰幀差分圖像中檢測反相點對，進而構造反相點對矢量圖，最後依據累積反相點對矢量圖中多矢量首位相接的連續性檢測出運動的點目標.文中給出並證明應用本演算法能以概率1檢測到運動點目標的收斂性定理.對典型復雜背景下10幅1000幀圖像的模擬結果表明，當信噪比大於或等於1 . 5時，可以有效檢測出運動點目標
  8. In paper, reaching the aim, firstly, we have researched thorough about symbol recognition and theory understanding relative theory and technology, and basing on those theory and technology, we adopt the based global characteristic symbol recognition and engineering drawing understanding algorithm which can automatic convert the vectorgraph which doesn ’ t include the relative physical information into the vectorgraph which includes the relative physical information. secondly, researching about the 2d computer animation technology and combine the cbt system, we have presented the new path animation model which include the union path description, animation pattern and time - velocity and time ? distance parts

    為達到上述目標，本文首先對目前圖形符號識別技術進行系統的、較深入的分析，結合民航飛機原理圖特點採用基於全局特徵的符號識別演算法對原理圖進行符號處理，並以此為基礎改進了基於圖的方法和全局知識的語義分析方法相結合的原理圖理解演算法，可將無序的矢量圖轉化成高層的知識表示，為動畫製作提供素材，為后續的電路完整性檢測及動畫自動播放提供相應的知識支持。
  9. The system firstly learns the domain training samples by using thesaurus to process word - separation and word - frequency statistics. according to word - frequency distribution, it chooses the feature collection and their weights to formulate feature vector and generate domain model and user model

    系統首先對領域訓練樣本進行學習，利用領域詞典對訓練文本進行詞條切分和詞頻統計，並根據詞頻分佈，提取代表採集目標的特徵項集和相應的權重，生成特徵矢量，形成初始領域模型和用戶模型。
  10. Secondly, a multilayered neural network trained with a learning vector quantization ( lvq ) algorithm is applied to pattern recognition of manifestations of the pulse and the classification ability of lvq network is compared with traditional near neighbor algorithm

    其次，本文根據脈圖的時域特徵，採用學習矢量量化演算法，訓練文中確立的神經網路分類器，用以實現對脈圖的識別。並比較了lvq神經網路分類器與傳統近鄰法的分類性能。
  11. ( 3 ) a series of new methods of feature extraction based on the generalized optimal discriminant analysis are proposed, including the improved algorithm based on guo ' s algorithm calculating the generalized optimal set of discriminant vectors, the analytical algorithm of solving generalized optimal set of discriminant vectors which is the complete solution of the generalized optimal set of discriminant vectors, and the new algorithm of feature extraction based on the generalized kl transformation which enjoys the advantaqges of higher recognition rate and the lower computational load. furthur more, we have proposed the relationship between the generalized kl transformation and the generalized optimal discriminant transformation, a new explanation of generalized kl transformation has been obtained

    （ 3 ）提出了基於廣義最優鑒別分析的圖象特徵抽取的一系列新方法，它們包括： guo廣義最優鑒別矢量集演算法的改進方法；廣義最優鑒別矢量集的解析演算法，徹底解決廣義最優鑒別矢量集的求解問題；提出了基於廣義k - l變換的特徵抽取方法，並從理論上揭示了基於廣義k - l變換的特徵抽取方法和基於廣義最優鑒別準則的特徵抽取方法之間的關系。
  12. Firstly, this article solves problems in the uighur text analysis, such as syllable separation, and summarize stress ? pause and tone rules of prosodic based on the features of the uighur language and phonetics. then propose the design of ? context vector ?, and uses greedy algorithm to optimize corpus. at last, this article introduces synthesis method using variable - length concatenating units

    首先根據維語的語音和語言特徵，解決了音節劃分等有關文本分析的問題，並總結了重音、停頓、語氣等韻律規則；然後採用「語境矢量」的設計，用greedy演算法優化語料庫；最後採用不定長單元的拼接合成方法，首先選擇較大單元合成，當拼接單元為音節時，用viterbi演算法，基於語境挑選出最優的單元合成語音。
  13. In the phase of training, it gets the sampling data from the wave files which were stored in the voice library by using the mci functions. then calculates the character vector ( 12 ranks of lpc and lpcc ) and trains them by clustering method, so we get the templates used by speech - recognition, this templates were stored in the template library. in the state of recognition, after calculating the character vector of input voice, we compare it with the character vectors of templates, and then find the best one or refuse it

    系統的組成模塊與語音識別系統的基本構成模型基本一致，在訓練過程中，通過調用mci （ mcimultimediacontrolinterface ）提供的函數從語音庫中的波形文件中讀取采樣數據，分幀計算出由12維線性預測系數和12維線性預測倒譜系數構成的特徵矢量，並按照聚類的方法進行訓練，得到后續語音識別時需要的模板，存放于模板庫中。
  14. Back - propagation ( bp ) neural networks are used as classification models in various feature domains, and then outputs of these networks are combined by the d - s evidence theory to obtain a consensus classification re suit

    待辨識的6類手部動作肌電信號經各特徵域變換，提取特徵矢量後由bp神經網路分類，根據d - s證據理論對各分類器分類結果進行證據累積，並得到最終分類結果。
  15. On the base of the analysis, we build up the vector fields of neighborhood variation ; put our emphasis on the description of the image edges and the domains of visual similar grey - level with the vector fields. after that, we find out the two methods used to detect the edges, the one with the biggest vector field, and the other with the perpendicular vector - pair of the biggest variation difference. the neighborhood size has got the great influence

    在此基礎上，提出了基於鄰域灰度變化矢量場的圖像分割思想;建立了圖像鄰域灰度變化矢量場，並重點分析了鄰域灰度變化矢量場與圖像視覺邊緣、區域等特徵之間的關系;建立了最大鄰域灰度變化矢量的邊緣檢測運算元模型，基於鄰域灰度變化矢量場最大正交差異對的邊緣檢測運算元及區域檢測運算元模型;分析了鄰域選擇對邊緣擴展、噪聲抑制的影響。
  16. Vector data require far less storage than raster data because arc node lists simplify and reduce the data required to make sense of the features contained in the map

    矢量數據要求的存儲要比柵格數據少得多，因為弧節點列表簡化並減少了表示地圖中包含的特徵所需的數據。
  17. Aim to the special model nc bend tube, use the modeling method that essential parameter drive product sample model ; 3 ) in the foundation that summing up a rule of optimized welding assembly underside of tube, develop the nc bend tube welding underside optimization design tool, then complete the optimization design united with two application methods : rotation method and the least squares method ; 4 ) propose a design method of nc bend tube welding jig bottom base, then establish model storehouse according to the design rules, and endow the foundation model with assembly feature

    針對多數通用型數控導管，運用矢量轉換演算法反求得導管關鍵特徵，並據此創建導管模型，針對特殊造型數控導管，使用關鍵參數驅動產品庫樣本模型的方法完成建模; 3 ）在歸納總結了焊接底面創建規則的基礎上，開發數控導管焊接底面優化設計工具，分別應用旋轉法和最小二乘法兩類方法完成底面的優化設計; 4 ）提出了一種數控導管焊接底座設計方法。
  18. Firstly, we directly use the motion vectors of macro - blocks defined in mpeg - i / ii compressing standards and filter the immobile macro - blocks. then, we build a skin color model in ycbcr color space using the convergent property of skin color, and we present the gaussian model skin recognition method and positive - negative look - up table method in details. and we analyze the texture of skin after wavelet transform and present a bayesian method based texture recognition method and a high texture filtering method

    根據皮膚的運動性，首先直接利用mpeg -中的壓縮標準中有關宏塊運動預測的方法，提取宏塊的運動矢量，將沒有運動的宏塊過濾掉；然後，利用皮膚顏色的聚合性，在ycbcr顏色空間建立了皮膚的顏色模型，並分別闡述了基於高斯分佈模型的皮膚檢測法和正反概率表方法；最後，通過對皮膚進行小波變換后的紋理進行統計后，發現有效的利用皮膚紋理特徵，可以比較有效的過濾掉那些具有類似於皮膚顏色的背景，分別闡述了基於貝葉斯方法的紋理檢測方法和高紋理過濾法。
  19. Watershed land use condition was updated swiftly, watershed land use status map was made, through vector - grid overlap of land use status map and doq, distillation characteristic data and updating data. 5

    通過土地利用現狀圖（ dtl ）與doq矢柵疊加，提取特徵數據並更新數據的方法，對流域土地利用進行快速更新，完成流域土地利用現狀圖的製作。
  20. Aimed at static image retrieval based on color, a multimedia image database which included three layers was designed and the search algorithm of the correlation and polymerization histogram was used in the article. to show color characteristic of image, the method of the hsb ( hue, saturation, brightness ) color space, which is suitable to the visual characteristic of human, is utilized. taking advance of human ' s feeling to color, it quantifies color sector with unequal interval, and get characteristic vector

    針對基於顏色的靜態圖像檢索，本文設計了一個三層的多媒體圖像數據庫，選用基於相關聚合直方圖的演算法，採用符合人類視覺特徵的hsb顏色空間來表示圖像的顏色特徵，利用人對顏色的感知來對顏色分量進行非等間隔的量化並形成特徵矢量，用距離度量函數進行圖像的相似性匹配。
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