特徵選擇 的英文怎麼說

中文拼音 [tèzhǐxuǎnzhái]
特徵選擇 英文
feature selection
  • 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...
  • 選 : Ⅰ動詞1. （挑選） select; choose; pick 2. （選舉） elect Ⅱ名詞（挑選出來編在一起的作品） selections; anthology
  • 擇 : 擇動詞（挑選） select; pick; choose
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 選擇 : select; choose; opt; election; choice; culling; alternative
  1. In particular, feature selection removes irrelevant features, increases efficiency of learning tasks, improves learning performance, and enhances comprehensibility of learned results

    特徵選擇能夠移除不相關特徵，提高學習效率，改善學習性能，增強學習結果的可理解性。
  2. In this paper, we introduce some conceptions correlative to it, give some kinds of dissociable basis and we put the stress on discussing some algorithms most in use of the characteristic selection

    本文介紹了相關概念，給出了常見的幾種類別可分性判據，討論了特徵選擇的幾種常用演算法。
  3. Teiresias finds patterns in spam training mail set and normal e - mail training mail set respectively. mutual information is used to select useful patterns in spam patterns. all selected patterns are used to filter e - mails

    該演算法同時發現出現于垃圾郵件集與正常郵件集中的大量模式，經互信息方法做特徵選擇后獲得有效的垃圾模式來過濾郵件。
  4. Feature selection and input dimension reduction are of paramount im - portance to transient stability assessment based on neural networks

    輸入特徵選擇和輸入空間降維是基於神經網路暫態穩定評估的首要問題。
  5. A new feature selection method in text categorization

    文本分類中一種新的特徵選擇方法
  6. To compress the dimensions of characteristic vector and make the design of classificatory in the characteristic space with lower dimensions is the purpose of characteristic selection and extraction

    摘要壓縮特徵向量的維數，在較低維特徵空間中進行分類器設計是特徵選擇與提取的目的。
  7. The application of feature selection methods in variables selections for credit scoring models

    特徵選擇方法在信用評估指標選取中的應用
  8. In general, the thesis covers the following aspects : first, in accordance with the property of variable tuning optical attenuator ( voa ), which is analyzed and discovered through diffraction theory, selected block plate and made attenuator, and achieved satisfactory effect by experiment in light transportation circuit

    針對可調型機械擋光衰減器的擋光特點，從衍射理論的角度分析和發現該器件的衰減特徵，並根據該特徵選擇擋光片，製作了衰減器。在傳輸光路上試用，獲得了較好的效果。
  9. Mandarin tone is characterized for tone level and tendency of pitch curve, so head - tail difference and relative tone level rate are determined as tone features for chinese tn - syllable word ; head - tail difference and tone level at the beginning of syllable are determined as tone features of syllable in continuous speech

    漢語聲調主要由基音曲線的調位高低和走向決定。因此，本文選擇頭尾差和相對調位比作為三字詞音節的聲調特徵；選擇頭尾差和音節起點調位作為連續語音中音節的聲調特徵。
  10. In consideration of the large feature dimensions of the wavelet moment invariants, we first choose a set of better features by combining divergence with sequential forward selection and this can be an off - line computation process

    針對小波矩不變量特徵維數比較多的情況，本文採用結合離散度和順序前進法的特徵選擇方法，先離線選取一組較優特徵量。
  11. In this paper, a new combined feature selection function that is based on the mutual information and ^ 2 is proposed

    本文針對^ 2統計和互信息兩種特徵選擇評估函數存在的不足展開研究，根據兩者之間的互補性提出了一種聯合的特徵抽取評估函數。
  12. The details are as follows : 1. process the images of defects, then extracts features of defect images and select some features which are useful for the classification of detects

    其主要工作包括以下幾個方面: 1 .研究對分割出來的缺陷圖像進行預處理，提取缺陷的相關特徵量並進行特徵選擇，剔除對類別可分離性無貢獻或貢獻不大的特徵量。
  13. Algorithm of feature selection for semantic video classifier

    視頻語義分類特徵選擇演算法
  14. The classifier with ability of feature selection is studied to prepare for face cascade representation and to make it possible to detect and recognize face fast and accurately. finally, construction of an array of classifiers is researched, and an effective method to design classifiers of fast face detection and recognition with complex background is presented, which is able to radically discard redundant areas and realize a robust real - time face detection designed for complex background and recognition system with large face database. finally, a fast face detection and recognition system for images with complex background is proposed and implemented by combining face cascade representation and classifier design

    首先研究了在人臉檢測和識別中常用的分類器，比如符號函數、最近鄰、神經網路、 svm 、 adaboost等，選擇了適合於人臉檢測和識別的分類器，並提出了結合pca特徵和rbf進行人臉姿態的判別方法：其次研究了具有特徵選擇功能的分類器發計，這為人臉的級聯表示提供了條什，也為快速準確的人臉檢測和識別提供了可能；最後，對組合分類器設計進行了研究，提出了適于復雜背景下快速人臉檢測和識別的有效分類器設計方案，這使得人臉檢測和識別能夠快速剔除不感興趣區域，為復雜背景下實時人臉檢測和大型人臉庫的快速識別提供了可能。
  15. Cvc technical report 24, june 1998

    提出了一種矩形特徵選擇演算法。
  16. Feature selection based on quadratic mutual information criterion

    基於二次互信息的特徵選擇演算法
  17. Finally, some important conclusions were drawn, that is, using distributed pzt transducers, ultrasonic guided waves are generated and received in a pipe. usually, there are many different modes of guided wave propagating in the pipe and these modes are generally dispersive, the specific exciting signal of a harming windowed toneburst with a central frequency of 70khz for decreasing the effect of dispersion was selected. and guided wave are generated using 16 distributed pzt transducers in a circumferential direction for suppressing flexural modes

    首先，對當前本課題研究領域的進展作出綜述，並簡要介紹與超聲導波技術相關的理論基礎；其次，建立了一套有效的實驗裝置，在此實驗裝置基礎上，重點研究了採用分散式pzt傳感器在管中激勵和接收特定模態超聲導波的方法：根據在管狀波導中傳播的超聲波具有頻散現象及多模態特徵，選擇具有單一頻率的特定信號激勵超聲導波，使其頻散最小；同時採用分散式傳感器抑制不同模態的波型。
  18. At the stage of image recognition, a unique model of pcb fault recognition was built on methods of tree - classification and sequenntial probability ratio test, and a kind of method of m feature selection and extraction was introduced

    在圖像識別中，本文分析了常用的模式識別方法，根據樹分類法和序貫概率比檢定法的思想設計了一種獨特的pcb缺陷模式識別方法；並給出了針對各種pcb缺陷模式的特徵選擇與提取方法。
  19. We designed and made the attraction device to attract agricultural pests, obtained agricultural pests " images with the color camera, processed images based on wavelet analysis. on the basis of these, we emphasized on extracting effective features, put forward recognizing pests " classes with pests " colors and texture features, and succeeded in extracting five efficient features such as color features, wave image edge moments features and so on. then we selected features, inputted into neural network classifier, recognized pattern, presented detection results

    本文設計製作了誘捕裝置，誘集農田害蟲，使用攝像頭攝取害蟲圖像，採用小波分析進行圖像處理，在此基礎上重點進行了特徵提取工作，提出了利用害蟲顏色和紋理等特徵進行種類識別的觀點，並成功提取了彩色特徵、小波圖像邊緣矩特徵等五類有效特徵，並經特徵選擇后輸入神經網路分類器進行模式識別，最後給出檢測結果。
  20. Wireless features : selective call acceptance

    無線電通信特徵:選擇性呼叫接收
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