特徵向量析取 的英文怎麼說

中文拼音 [tèzhǐxiàngliángxīqǔ]
特徵向量析取 英文
eigenvector extraction
  • 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...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  • 取 : Ⅰ動詞1 （拿到身邊） take; get; fetch 2 （得到; 招致） aim at; seek 3 （採取; 選取） adopt; assume...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. And understanding and studying the spectral features and variation rules of geo - targets in the experimental area, raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets, realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio. it is suggested that " red edge " range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed

    研究結果如下：首先針對荒漠化地區的地物特徵，對高光譜數據不同波段的數據質量、波段組合進行了評價，提出了適用於荒漠化監測的基本波段選擇集；初步了解和掌握了研究地區的地物光譜特性及變異規律，進一步明確了掌握地物光譜特徵和變異規律是用成像光譜儀數據提取地物信息的基礎；發現了基於光譜整體形狀的分類方法在很大程度上能夠消除由於傳感器、地物目標觀測方向之間的角度變化引起的反射率曲線整體平移的「同物異譜」現象，對于譜形相似而整體反射率的值相差較大的兩類地物，通過引入均值和方差圖像參與分類得到解決；研究還表明在植被「紅邊」范圍內的波段是進行荒漠化監測的主要特徵波段，這些波段與植被生物量和蓋度都有密切的關系，是開展精細植被分類研究和植被定量反演的重要基礎；像元的導數光譜分析可以消除土壤背景的影響，是進行植被生物量和蓋度定量反演的有力工具；建立了荒漠化監測主要評價因子的定量反演模型，並分析了模型的適用性。
  2. On character extraction, the thesis regards handwriting images as texture images, and excogitates analyzing handwriting images with ( 2, 10 ) integer - to - integer wavelet transform innovatively, that is, analyzing texture images with ( 2, 10 ) integer - to - integer wavelet transform mainly, and denoting eigenvectors of handwriting images with integer - to - integer wavelet coefficients, the thesis defines an 18 - dimension eigenvector. ( 2, 10 ) integer - to - integer wavelet transform can extract the high pass of images effectively, high pass is the details of images, and analysis of texture images is mainly for the details

    在筆跡圖像的特徵提取上，文章把筆跡圖像當作紋理圖像來看待，創新地提出用（ 2 ， 10 ）整數小波變換來分析筆跡圖像，即主要用（ 2 ， 10 ）整數小波變換分析紋理圖像，用紋理圖像的整數小波系數來表徵筆跡圖像的特徵向量，文章定義了一個18維的特徵向量。 （ 2 ， 10 ）整數小波變換能夠很好地提取圖像的高頻部分，高頻部分在圖像中表現為細節，而對紋理圖像的分析主要是對細節的分析。
  3. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  4. Polarimetric synthetic aperture radar ( polsar ) investigates the transverse vectorial nature of plane em waves and provides the complex scattering matrix of a scatterer. scattering polarimetry is sensitive to the shape, orientation, and dielectric properties of scatters

    極化合成孔徑雷達（ polsar ）研究電磁波的矢量特徵，通過測量和分析目標的極化散射特性，獲取目標的介電常數、物理特性、幾何形狀和取向等方面的大量信息。
  5. In this thesis hydraulic experimental studies and theoretical analyses on the vortex - flow drop shaft were conduced and the following results were accomplished : ( 1 ) in the model test some hydraulic characteristics including the shape of air core in the center of the drop shaft, the radial distribution of water flow velocity and the distribution of pressure on the wall of the drop shaft were measured under the condition of high water head above 250m and large discharge above 1400m3 / s. ( 2 ) a kind of computational method for the spiral water flow in the air core region of drop shaft was discussed and applied and the results agree the experimental data well. ( 3 ) the total ratio of energy dissipation in the drop shaft can reach 90 % and the energy dissipation in every region was discussed quantitatively

    本文通過試驗研究與理論分析對旋流式豎井泄洪洞應用於高水頭、大泄流量情況時存在的一些水力學問題進行了研究和探討，取得以下主要成果：一、結合小灣工程導流洞改建，對高水頭（ 252m ） 、大泄流量（ 1400m ~ 3 s ）條件下旋流式豎井中的水流運動特徵進行了比較全面的測量，包括空腔形態、徑向流速分佈及井壁壓強等；二、提出了豎井空腔段螺旋水流水力計算方法，其計算結果與實測值吻合良好；三、利用試驗與計算結果，對旋流式豎井的消能機理進行了探討，對豎井各部分的消能能力有了總體認識；四、對豎井下部消力井的合理井深進行了優化試驗研究，發現消力井合理深度為0 . 9d左右；五、通過試驗研究，歸納出豎井水流總摻氣量估算方法，為導流洞排氣方案的設計提供了參考依據；六、在高水頭、大流量條件下，豎井空腔段下部流速很高，盡管水流螺旋運動引起的離心力可以確保井壁壓強保持正壓，但空化數依然較低，因此豎井的空化空蝕始終是工程界關注的重大問題。
  6. In the design of corpus, we carefully analyze the syllable distribution of corpus th - coss, then classify the prosodic characters of this corpus and present out the distribution of every prosodic character. based on prosodic character vector, we construct an error function which is used to select original corpus for simulation system, and show the distribution of prosodic characters for the original corpus. greedy algorithm and corpus self - adaptive process are expatiated to set theoretical foundation for text material search

    在語料庫分析與設計方面，首先統計th - coss語料庫中音節分佈情況，給出th - coss語料庫韻律特徵分類，並對每一種韻律特徵進行統計，然後構造了一個基於韻律特徵向量的誤差函數，並採用該誤差函數提取語料組成模擬系統的初始語料庫，分析該庫的韻律特徵分佈，最後闡述了greedy演算法與語料自適應過程，為文本語料的搜索打下理論基礎。
  7. This feature perfectly combine the frequency in acoustics level and the temperament in music semantic level, we use the cosine distance of this feature to represent the similarity of two music clips, then we design a group of algorithms that is inspired from the thought of edit distance and dynamic programming. they segment the feature vectors into groups at first, then through group similarity match, group recurrent detect, merge recurrent group and structure label joined algorithms to complete the music structure label task. because this is a really new field of research and no good method of evaluation had been finding, we propose a new evaluation method and the results of the experiments show that it is a good method

    然後設計了一組源於編輯距離和動態規劃思想的音樂結構分析演算法，首先將特徵向量分組，然後經過組相似匹配、組重現檢測、重現組歸並和自動標注四個前後銜接的環節實現了音樂結構的自動標注，較好地實現了將音頻形式的音樂自動標注為表示音樂結構的三元組列表形式，由於這是一個新的領域，目前還沒有比較好的量化評價方法，本文提出一種新的評價方法，並用它來評價結構分析的結果，取得了較好的效果。
  8. In addition, effects of several factors such as local site conditions, focal mechanism, epicentral distance and seismic magnitude on these parameters are discussed, and several significative results and conclusions are obtained. in all records there are about 1 / 3 vertical ground motion ’ s peak acceleration bigger than 2 / 3 of the corresponding horizontal one, so the action of vertical ground motion should not to be underestimated. vertical design response spectrum equals that the horizontal design response spectra times 65 % is probably unsafe when period is short, and suggest adopting different coefficients when at different periods

    本文基於對大量歐洲強震記錄的研究，分析了地震動豎向與水平向分量在峰值加速度、反應譜值、頻譜周期等參數方面的差異，以及這些參數與場地、震源機制、震級和震中距的關系，得到了以下有意義的結果和結論:在本文分析的地震記錄中大約1 / 3的記錄加速度峰值比大於2 / 3 ，豎向地震動分量的作用不可低估;在短周期，豎向地震動影響系數的最大值僅取為水平向地震動影響系數最大值的65 %是偏於不安全的，可以考慮按周期分段採用不同的折減系數;我國現行抗震規范中設計反應譜特徵周期的取值偏低，可能是偏於不安全的;豎向與水平向地震動分量卓越周期的比值在0 . 7 - 0 . 9之間，豎向設計反應譜的特徵周期應有單獨規定。
  9. The wavelet packet analysis applied in fault diagnosis system is studied in this thesis. using simulation fault data, uncalm and time difference vibration signal of sodium pump are decomposed on different levels and frequencies. to picked - up the eigenvectors reflecting different fault of sodium pump with availability, simulation results have shown its satisfaction in the identification

    對小波包分析應用於故障診斷進行了研究，利用模擬出來的故障數據，將快堆鈉泵非平穩時變振動信號分解到不同層次和不同頻帶上，有效地提取出反映鈉泵不同故障（狀態）的特徵向量，在識別中得到了滿意的結果。
  10. Second, using the method of wavelet - transform, extract the stable second - low frequency wavelet coefficient, build face database. third, for the sake of eliminating the correlations between entities of the image vector and extracting character - vector, which keeps the main class - information and can be used to rebuild original image, the principal component analysis ( pca ) was used

    對人臉庫進行主成份分析，此方法根據人臉圖像整體的灰度相關性來提取特徵向量，所提取出的特徵向量保留了原圖像空間中的主要分類信息，並能在均方誤差最小的意義上重建原圖像。
  11. First classifier chooses two classes whose matching distance between it and paper currency is bigger than others from all class. then in the second stage, we extract some new feature and improve the classifier to generate the last result. in the stage of defect detection for paper currency, we advances a homogeneity based algorithm for the detection of scratch and cracks appearing on paper currency, in which the homogeneity feature of the sensed paper currency image is first constructed to locate the pixels that probably been polluted, the image registration algorithm is subsequently used to overlay the sensed and reference paper currency image

    在特徵提取中，我們對基於方向塊的特徵提取方法進行了分析，在此基礎上針對美元特點，對圖像方向塊的劃分方式做了研究，並提出了基於幾何距離的特徵提取方法;在分類器設計中，我們採用了lvq網路對紙幣進行學習與分類，並提出了一種具有兩層結構的分類演算法，第一層首先對輸入的特徵向量進行粗分類，選定與特徵向量匹配距離最大的兩類幣種，進入第二層分類器;在第二層分類器中，我們通過研究進入該模塊兩類幣種特徵塊的相關性，重新設計了特徵向量，同時對分類器進行改進，最終實現對紙幣的分類。
  12. For the nonstationarity of the signal in field, eigenvector of fault is computed with newly advanced wavelet analysis, as the preprocessing in diagnosis procedure

    考慮到現場中信號的非平穩性，採用新發展的小波分析工具，提取故障的特徵向量，作為診斷過程的預處理。
  13. Another method is based on the multi - resolution property of the wavelet. because different signal modulation has different characteristics at certain resolution, the specific signal information at different resolution are used a vector of signal features to identify signal modulation by rbf neural network. computer simulations show the methods proposed has good performance even in low snr ratio

    基於小波的多解析度特性，在本文中利用小波分解獲取信號在不同分解水平下的細節信息，將這些細節信息構成特徵向量，由於不同信號類別具有不同的細節信息，於是可以將這些特徵向量通過徑向基函數（ rbf ）神經網路進行訓練與識別數字調制信號。
  14. In this article, the wavelet transform is used to improve the recognition ability of vehicle ' s characters recognition system, because the " microscope " feature and similar - human vision feature can be used in the image analyze. three problems have been solved in this article : ( l ) the core method of recognition is to realize the extraction of stable feature of characters, the algorithm of wavelet feature vector has been given based on the directivity decompose of 2 - dimention wavelet transform, varied grid feature vector has been built too according to the multi - mode owned by the characters

    本文選用小波變換作為數學工具，利用小波的「顯微鏡」特性和類人視覺特點解決車牌字元的分析和識別問題，以提高車牌字元的識別能力，主要研究了三個方面的問題： （ 1 ）識別研究方法的核心是完成字元穩定性特徵的提取，採用圖像小波變換的方向性分解構造出小波特徵向量，並根據字元本身具有的多模態性提出了一種變網格小波特徵向量。
  15. Via numeric sample analysis, it is found that evaluation functions are constructed by weighing principal components for pca. however, evaluation functions can be quite different when there are more than three principal components and characteristic vectors other than first one are chosen in different directions. for spca, variance contribution can be greater than 90 % by selecting just one principle component

    將譜主成分分析應用於多指標評價系統中，通過數值例子分析：主成分分析是通過對各個主成分加權構造評價函數，當主成分個數不小三個時，從第二個特徵向量開始，對方向的不同選取，可導致評價函數的極大差異：而用譜主成分分析，能做到只取一個譜主成分就可使方差貢獻率大於90 。
  16. Based on the study of wavelet analysis theories and on the analysis of gear transmission vibration, continuous wavelet transform multi - resolution analysis and wavelet packet decomposition are respectively studied and applied in extracting the feature vectors of transmission gear extraction methods, then these three feature extraction methods are compared and useful conclusions yield

    本文應用小波分析方法，針對變速箱齒輪運行過程中的振動信號的特點，研究了基於連續小波變換、小波分析的多分辨分析和小波包分解的變速箱齒輪振動信號的特徵向量提取方法，並將這些方法進行比較，得到了有用的結論。
  17. After collecting the characteristics of this signal in frequency domain, the samples are learned to train the constructed wavelet neural network ( wnn ) for realizing the mapping relationship between the fault and the spectrum characteristic, this method can be used for diagnosis of the unit faults efficiently

    在對水電機組振動信號進行頻譜分析后，提取該信號在頻率域的特徵量，將頻譜特徵向量作為學習樣本，通過訓練，使構造的小波神經網路能夠反映頻譜特徵向量和故障類型之間的映射關系，從而達到故障診斷的目的。
  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。
  19. Li this part, the thesis first profiles semantic features of each document by employing chinese information processing technology in order to change documents into the form which can be operated with the help of mathematical methods. second, the thesis profiles each user ' s information needs by three ways : 1 ) accepting the information provided by the user himself ; 2 ) watching the user ' s retrieval action ; and 3 ) analyzing web server log. in this module, users are also classified into different categories according to their information needs

    在用戶建模中，系統從三方面獲取用戶信息需求特徵，第一，用戶主動地向系統提供需求信息；第二，系統檢測用戶檢索行為，從用戶檢索詞分析其需求；第三，系統通過分析web訪問日誌，得到用戶的興趣所在及興趣的變化狀況，並進一步利用對用戶訪問文檔內容的分析來追蹤其興趣變化，將用戶興趣同樣表示為興趣特徵向量，聚類相似用戶。
  20. The method has special obvious advantages to diagnosis the faults when several faults exist simultaneously. the paper constructs a three - layer forward neural network to diagnosis the fault and trains the network with characteristic eigenvectors extracted through the wavelet packet analysis, when training the net using the method of adding inertia item and the bp algorithm of conjugate gradient method, at the same time adapt the initial data of the network through the test

    同時，文中還構造了三層的前向神經網路，以小波包分析提取的故障特徵向量作為網路的訓練樣本數據，採用加慣性因子、共軛梯度法和迭代過程中改變學習率的反向傳播演算法來對神經網路進行訓練，並採用試驗的方法調整神經網路的初始值。
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