特徵抽出 的英文怎麼說

中文拼音 [tèzhǐchōuchū]
特徵抽出 英文
feature abstraction
  • 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） ...
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 抽出 : （拉出; 提取） draw out; select from a lot; extract; abstract; withdraw
  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. The beauty of philosophy is mainly manifested in vast state beauty using vast narrative structure as an expressing means, in deep mentally reasoning beauty with a deep probe into reflection as characteristics between existence and thinking, in abstract beauty of theoretical practice originated from practical life but not punctilious, and the surpassing human nature beauty based on the above three

    哲學美主要表現在：以宏大的敘事結構為表達手段的博大的境界美，以窮根究底的對存在和思維的關系反思為特徵的深沉的思辨美，以現實生活為源泉但又不拘泥於生活細節真實而達到理論真實的抽象美，以及在以上三者統一的基礎上表現出來的超越的人性美。
  4. 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。
  5. 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
  6. 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。
  7. On the basis of analyzing the different kinds of features between environmental crime and others, this thesis defines the environmental crime as follows : the act of breaking environmental protection laws and regulations leads to destroy environment and it should be punished by criminal punishment. different forms of subjective guilt show the differences of actor " subjective malice

    本文評析了一些具有代表性的國內外學者關于環境犯罪的概念，指出環境犯罪作為一類罪，在界定其概念時，應抽繹出此類犯罪與其它類罪不同的特徵加以表述，而無須將其所有的具體犯罪構成? ?闡述。
  8. Secondly ， the author point out the problems of development of chinese tourism marketing for example ， the tourism marketing is not perfect ， and the marketing kind is not complete ， and the system of tourism marketing is imperfect and so on in the end ， the author gives some advice how to settle these problems in order to make chinese tourism industry great progress the system of tourism maketing should be meliorated ； model of sales promotion of tourism product should be improved ； new objective tourism marketing should be developed ， for instance ， we should develop education tourism marketing ， rural tourism marketing and the rich residents of tourism marketing many methods of demonstration are adopted ， qualitative analysis and quantitative analysis are integrated ； deductjve reasoning and induction are expioited with ease ； the author anach importance to empoloy relative theorv ， of tourism ， at the same time ， the researching of the calse is emphasized

    這篇論文針對我國目前的旅遊市場進行宏觀分析，首先就我國旅遊市場的宏觀背景即國內旅遊市場發展背景和國際旅遊、旅遊市場研究進展和趨勢進行初步探悉，運用現實的統計數據和抽樣調查數據進行分析論證；其次就我國目前旅遊市場的現狀和存在的問題進行闡述和分析，然後針對我國目前旅遊市場的特徵和存在的問題提出發展戰略和解決措施，分析問題的方法上主要採用抽樣調查、比較分析法、演繹與歸納、定量與定性相結合等。
  9. Firstly, we extract the profile features of human face and non - human face from training images ( including human training images and non - human training images ). then, put them into support vector machines ( svm ) to train and classify those features, then use the training results to detect human faces

    該方法是一種統計學的方法，從圖像訓練集（包括人臉訓練集和非人臉訓練集）中分別抽取出人臉和非人臉的輪廓特徵，然後送入支持向量機進行訓練和分類，將訓練結果用於人臉檢測。
  10. 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。
  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. ( 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。
  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. First, the probability distribution model of original flow for a sampled flow of fixed length is analyzed, and simple estimation for large flows is described according to the analysis result

    首先分析了產生一個定長抽樣流的原始流的概率分佈模型，並根據這個概率分佈特徵給出了長流一個非常簡單的估計。
  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. String frequent static, sub string reduction and several filtering method are used to analyze one set chinese new word mining system and identify new word by using character, word and n - gram dictionary based on statistic large - scale corpus

    摘要根據新詞語的不同特徵，提出了一整套自動檢測新詞語的方法，通過大規模地統計分析，分別建立字，詞， n元組的詞典，從中自動檢測出新詞語來，然後再根據構詞規則時自動檢測的結果進行進一步的過濾，最終抽取出語料中的新詞語。
  17. 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
  18. The author studies some important domain analysis methods in the world. because of the virtues of foda method, the paper researches over am / fm / gis domain with the foda method, tries to plot out the boundary of am / fm / gis domain, extracts the domain features of am / fm / gis, and gains am / fm / gis domain model, including domain structure model, context feature model, operational feature model, representation feature model, information model, and activity model. these models are expressed in uml modeling methods, class description language, and tree view diagram

    論文在分析了眾多國內外領域分析方法的基礎上，選擇foda方法對am fm gis領域進行深入研究，界定其領域邊界，抽取出am fm gis領域特徵，得出了am fm gis領域結構圖、場景圖、特徵模型、信息模型和操作模型，並採用多種uml建模方法、類描述語言、樹狀圖等表達方式對相關模型進行描述，並在此am fm gis領域模型的基礎上探討了領域設計與實現。
  19. 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。
  20. Secondly, according to convex geometric characteristics, a common - perpendicular - line algorithm is developed for the distance between the convex nurbs surfaces by making surfaces discrete, approximating the distance by one between convex hulls of discrete surfaces and solving a linear programming problem to get their vertical projective length on common perpendicular direction, that is, the original distance

    然後，針對凸曲面的幾何特徵，給出了nurbs凸曲面間距離求解的公垂線法和切平面法。公垂線法是把曲面間的距離求解問題轉化成曲面的離散點生成的凸殼間的距離，再歸之為兩凸殼在其公垂線上投影集合間的距離，由此抽象成一個線性規劃問題，估算出近點對。
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