特徵抽取 的英文怎麼說

中文拼音 [tèzhǐchōuqǔ]
特徵抽取 英文
feature 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...
  • 抽 : 動詞1 （把夾在中間的東西拉出; 提取） take out （from in between） 2 （從全部里取出一部分; 騰出） ...
  • 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
  • 抽取 : abstract
  1. Develop and applicate a method of feature extraction for crowd detection

    應用特徵抽取圖像技術進行車站人群監測的初探
  2. The feature extraction in brain - computer interface based on best basis of wavelet packet

    腦機介面中基於小波包最優基的特徵抽取
  3. We provide the structure and function of system software and hardware, discuss image attaining, division employee serial number from chest card image, then combine multiple characteristic and coding to recognize employee serial numbe, employee identity, and register check on work attendance

    文中給出基於胸卡識別的?勤系統的體系結構和功能，並詳細論述了圖像捕捉、胸卡和編號的分割、以及採用多特徵抽取和編碼器結合對編號進行識別的方法，進行職工身份識別，達到?勤的目的。
  4. Firstly, to perform pca or lda on basis of such high - dimensional image vectors is a time - consuming process. secondly, the high dimensionality usually leads to singularity of the within - class covariance matrix, which is a trouble for calculation of fisher optimal discriminant vectors

    這樣就從根本上避免了在高維的圖像向量空間內構造散布矩陣並計算特徵向量的困難，大幅度地降低了特徵抽取過程所耗費的計算量。
  5. The conventional principal component analysis ( pca ) and fisher linear discriminant analysis ( lda ) are based on vectors. that is to say, if we use them to deal with the image recognition problem, the first step is to transform original image matrices into same dimensional vectors, and then rely on these vectors to evaluate the covariance matrix and to determine the projector

    所提出的這兩種方法的共同特點是，在進行圖像特徵抽取時，不需要事先將圖像矩陣轉化為高維的圖像向量，而是直接利用圖像矩陣本身構造圖像散布矩陣，然後基於這些散布矩陣進行主分量分析與線性鑒別分析。
  6. Rather, in this paper, two straightforward image projection techniques, termed image principal component analysis ( 1mpca ) and image fisher linear discriminant analysis ( imlda ), are respectively developed to overcome the weakness of the conventional pca and lda as applied in image feature extraction

    在orl標準人臉庫和nust603人臉庫上的試驗結果表明，與通常的主分量分析與線性鑒別分析方法相比，圖像投影鑒別分析與主分量分析技術將特徵抽取的速度提高了一個數量級以上。不僅如此，其識別精度依然高於傳統的eigenfaces與fisherfaces方法。
  7. 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。
  8. According to the standard of kddcup ' 99 and by adopting numeric mixed coding, 41 features of the captured network packets are extracted and transferred into numerical form which can be accepted by neural network in this paper, we present a misuse detection model based on hybrid neural network and decision tree

    根據第三屆國際知識發現和數據挖掘競賽（ kddcup ' 99 ）標準，對截獲的網路數據包進行41維特徵抽取，並採用混合數值編碼方法，使這些特徵轉化為能被神經網路處理的數值形式。
  9. Abstract : by multi - parameter testing and analysis of model of cable - stayed bridge, this paper is devoted to the study of the techniques of feature extracting and pattern recognition of its deterioration health condition applied with wavelet transformation

    文摘:基於小波理論，通過多參數試驗分析，研究了斜拉橋模型退化狀態的特徵抽取和模式識別技術。
  10. The fuzzy division of the character lattice image can overcome the stroke position influence to the feature extraction. the fuzzy direction feature combines the fuzzy image division with the fuzzy direction property feature, which describes the stroke direction property of single edge point

    通過對字元點陣圖像的模糊劃分，克服筆畫位置對特徵抽取的影響；用模糊方向屬性特徵描述單個邊緣點筆畫方向屬性；模糊方向特徵是圖像的模糊劃分和邊緣點的模糊方向屬性特徵的結合。
  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. A novel method for eye features extraction

    一種眼睛特徵抽取的新方法
  13. ( 2 ) a series of new methods of feature extraction based on the optimal discriminant analysis are proposed, including the new lda algorithm based on the spectral decomposition of within - class scatter matrix sw which is effective when the number of class is small, an improved algorithm of optimal set of discriminant vectors based on the svd which is effective for face recognition, and the kernel fisher discriminant method ( kfdm ). experimental results on orl show that the kfdm outperforms conventional fisher discriminant methods in face recognition, however the computational load is much higher than those of conventional algorithms

    （ 2 ）提出了基於最優鑒別分析的圖象特徵抽取的一系列新方法，它們包括：基於對類內矩陣s _ w進行譜分解的f - s最優鑒別矢量集方法，該方法在類別數比較小時非常有效；一種改進的基於svd的最優鑒別矢量求解演算法，將該方法用於人臉識別時有較好的性能；非線性最優鑒別矢量集方法，該方法雖然有效，但計算時間較長。
  14. Linear projection analysis, including principal component analysis ( or k - l transform ) and fisher linear discriminant analysis, is the classical and popular technique for feature extraction

    線性投影分析，包括主分量分析（或稱k - l變換）和fisher線性鑒別分析，是特徵抽取中最為經典和廣泛使用的辦法。
  15. ( 4 ) algebraic feature extraction on the spectro - space has been proposed, which combines the wavelet analysis, wavelet packet analysis and the generalized optimal discriminant analysis

    （ 4 ）提出了一種在頻域上的代數特徵抽取方法，該方法將小波分析、小波包分析和最優鑒別分析、廣義最優鑒別分析相結合。
  16. Based on this idea, a general framework for linear analysis in singular case is developed, i. e., pca is first used to reduce the dimension of image space to m ( the rank of the total scatter matrix )

    更為重要的是，我們進一步揭示了高維、小樣本情況下線性鑒別分析的本質，即先作k - l變換，再用fisher鑒別變換作二次特徵抽取。
  17. Autoregression feature extraction

    自回歸特徵抽取
  18. Bispectral analysis can reveal information of quadratic phase coupling of a time series and fits well the demands of characteristic extraction while on - line monitoring wear conditions of a milling cutter

    摘要雙譜分析能夠揭示時間序列的二次相耦合信息，特別適于銑刀磨損狀態監測信號的特徵抽取。
  19. Method on structure - based fingerprint feature extraction

    基於結構的指紋特徵抽取方法
  20. Abstract : an identification model of taste signals is developed based on fuzzy neural networks. the data compression and feature extraction of the sampled taste signals obtained using taste sensors are implemented employing wavelet transformation. fuzzy neural networks are used to identify the taste signals. the training of network weights and the optimization of membership functions are conducted employing genetic algorithms. the data processing and fuzzy identification of mixed acid and sweet taste signals are realized. simulated experimental results show that it is feasible and effective to introduce fuzzy neural networks into the fuzzy identification of taste signals

    文摘:文中提出了一種基於模糊神經網路方法的味覺信號識別模型，利用小波變換實現了對傳感器所採集的味覺信號進行數據壓縮及特徵抽取，以模糊神經網路作為味覺信號的識別工具，並利用遺傳演算法訓練網路權值、優化隸屬度函數.文中實現了對酸、甜復合味覺信號的數據處理和模糊識別.實驗結果表明了將模糊神經網路引入到味覺信號模糊識別的可行性和有效性
分享友人
分享到 Line

分享到臉書