特徵抽取法 的英文怎麼說

中文拼音 [tèzhǐchōuqǔfǎ]
特徵抽取法 英文
feature extraction method
  • 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...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 抽取 : abstract
  1. This dissertation brings forward and realizes the multilevel classifiable method which is based on characters coding. above all, this method realizes the first - grade classification by extracting enough effective characters from characters and coding them, to the others which coundn " t be recognized by the first - grade classification, the method will adopt the second - grade classification using template matching to recognize these characters

    本文提出並實現了基於特徵編碼的多級分類識別方法，通過給字元抽取足夠多的有效的特徵並給特徵編碼實現第一級分類，對于第一級分類后仍不能區分的字元，再進入第二級分類用模板匹配的方法最終達到區分的目的，這種方法的重點在第一級分類階段。
  2. The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of bp algorithm, extraction and reduction form line etc. referring to shortcoming of traditional bp algorithm, a modified learning factor with adaptation is introduced. because of every different font has robust, the way based chain coded and knaggy feature is used. a bizarre sample feature database is constructed for speeding up modified bp learning and classification

    本文對人工神經網路理論進行了研究，探討了網路形式及演算法的選擇、演算法的實現、學習樣本的收集、網路參數選擇、 bp演算法缺陷、表格線提取、還原、生成及字元識別、還原生成等問題，並針對bp演算法的缺陷提出了和實現了改進型bp演算法，使網路學習效率提高，對不同人的不同字型字體有較強的魯棒性，採用了基於鏈碼特徵和凹凸分佈特徵的方法來抽取字元特徵。
  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. Structural matching is a main approach for on - line chinese character recognition. in order to reduce its great computational comple xity and improve its performance, people have been seeking for a way to guide the whole matching by the result of partial matching. in this paper, the authors prop osed 45 basic components from 3, 755 categories of the daily - used chinese charac ters to guide the stroke segment matching. because they always locate at either the beginning or the end of the stroke segment string, these components are easy to extract and separate from other parts of the character. besides, the reference templates of these components are dynamically extracted from the reference segmen tstring and dependent on the current matched character so that a more accurate matching is carried out. experiments show that the segment matching computation h as reduced almost 50 %. the approach is also enlightening for other similar object matching problem

    結構匹配是一種有效的聯機手寫漢寫識別方法，為了減少匹配運算，人們一直在尋求利用部分匹配的結果來引導整體匹配的方法.在特徵匹配與結構匹配綜合的基礎上，從3 . 755個一級國標漢字中提取出45個子結構，利用它們來引導結構匹配.由於這些子結構總出現在字首或字尾，因而對它們的檢測比較容易.同時，通過建立子結構活動模板及設計子結構動態抽取演算法，使得子結構匹配的準確度得到很大提高.實驗結構表明，該方法使結構匹配的運算量減少約50 % ，並對類似的物體識別問題有一定的啟發意義
  5. To analyze the distribution of chinese decor industry customers " internal value index and to find the method of brand positioning based on customer internal value, the author apply the " graphics of consumers " internal value " - an new method on analyzing the customer internal value - to chinese decor industry. based on an customer survey and much desk research and the case analysis, the author deeply explain the consuming habit of decor industry customers, analyze the distribution of decor industry customer internal value index and the characteristic of customer internal value in subdivided decor industry market, and analyze the strong points and weak points in brand positioning of famous decor brand " ikea "

    本文是對消費者價值分佈和基於消費者價值的品牌定位的研究，旨在通過借鑒著名國際市場研究公司羅蘭?貝格戰略咨詢公司所開發出的「消費者價值分布圖解法」 ，並基於對中國上海204份隨機抽取的樣本所進行的問卷調查，深入分析中國家居市場消費者的價值元素分佈、消費者需求的變化趨勢、細分市場的消費者特徵，並探討國際著名家居品牌- - - - - -宜家家居- - - - - -在中國的品牌定位以及其品牌定位與其目標消費者價值分佈的聯系。
  6. 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。
  7. 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。
  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. ( 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。
  10. A novel method for eye features extraction

    一種眼睛特徵抽取的新方法
  11. ( 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。
  12. 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。
  13. ( 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。
  14. Then taken four kinds of maps for examples, comparing with m - sequence, their properties are calculated, verifying the advantages of the chaotic sequence generated by the new method. after this, an improved scheme is discussed - - using m - sequence to change the sequence ’ s turn and verifying that the permutation parameters have effect on improving the sequence ’ s properties. in chapter 5, monte carlo simulation method is used to test performances of our sequences ’ applications in the given model of direct spread spectrum cdma system, and results of error rate of the system are given ; the comparing resuls of performances of anti - multi - access interference and anti - multi - address interference of different pn sequence is also shown in this thesis

    本文首先對擴頻通信中常用二進制偽隨機序列的產生方法、性能特點進行了總結，指出了現有二進制偽隨機序列的應用局限性;其次，根據混沌非線性系統特徵，深入研究了混沌數字序列的產生方法;在此基礎上，提出了一種新的產生方法中間抽取法，然後，以四種混沌映射系統為例，對其所產生的混沌數字序列進行了偽隨機特性實驗數據分析，並與m序列進行比較，結果說明了混沌數字序列代替傳統擴頻序列的優點，同時驗證了新方法的可行性。
  15. Method on structure - based fingerprint feature extraction

    基於結構的指紋特徵抽取方法
  16. 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
  17. Now there are two basic target recognition strategies, such as processing from bottom to top, which is called data - driving method, and processing from top to bottom, which is called knowledge - driving method. the former begins with low layer processing for example, general segmentation, label and feature extraction, then judges whether the feature vector extracted from the labeled area is in accordance with the feature vector of the object model. the latter firstly brings forward a hypothesis on probably existed feature, secondly proceeds with purposeful segmentation, label and feature extraction, lastly judges whether the feature vector extracted from the labeled area is in accordance with the feature vector of the object model

    目標識別在工農業生產、國防建設中具有極其重要的地位，目前目標識別的演算法常用的有兩種，一種是由下而上的數據驅動型策略，即不管目標屬於何種類型，一律先對原圖像進行一股性的分割、標記和特徵抽取等低層次處理，然後將每個帶標記的已分割區域的特徵矢量與目標模型相匹配；另一種是由上而下的知識驅動型策略，即先對圖像中可能存在的特徵提出假設，根據假設進行有目的地分割、標記和特徵抽取，在此基礎上與目標模型進行精確匹配。
  18. A mehtod of feature extraction for structure analysis of dna sequences

    序列結構分析的特徵抽取方法
  19. We adopt two different characteristic extracting methods and recognition algorithms accordingly. thirdly, we researched the neutral network algorithm and its improvement algorithm, designed a bp neutral network, which could apply in chinese handwritten recognition

    漢字識別的分類演算法包括對漢字進行粗分類和細分類，在不同的分類方法中各採用兩種互補的特徵抽取演算法，並相應地在識別上採用不同的策略。
  20. Study on hybrid method of feature extraction and face recognition

    人臉圖象特徵抽取和識別的一種混合方法研究
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