無監督的 的英文怎麼說

中文拼音 [wújiāndūde]
無監督的 英文
unsupervised
  • 無 : 無Ⅰ動詞（沒有） not have; there is not; be without Ⅱ名詞1 （沒有） nothing; nil 2 （姓氏） a surn...
  • 監 : 監名詞1. （古代官府名） an imperial office 2. （姓氏） a surname
  • 督 : Ⅰ動詞（監督指揮） superintend and direct Ⅱ名詞（姓氏） a surname
  • 的 : 4次方是 The fourth power of 2 is direction
  • 監督 : 1 （察看並督促） supervise; superintend; control; monitoring; supervision 2 （監督人） supervisor...
  1. In this paper, we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification. the research works of this paper have been done as follows : firstly, in order to overcome the weakness of gray level co - occurrence matrix ( glcm ), a new unsupervised texture segment algorithm, based on multi - resolution model, is presented in this thesis

    本文主要研究了基於紋理統計特性的特徵提取與分割方法，並將其用於實際的多光譜圖像分類，具體工作如下:第一，針對傳統灰度共現陣方法中特徵提取的尺度單一問題，本文提出了一種多分辨無監督紋理分割演算法。
  2. The vegetation type was classified in the east transect by unsupervised classification using the data ( ikmx 1km ) from noaa meteorology satellite from 1995 - 1996, and the article analyzed the change of ndvi of all kinds of vegetation types, in the same time analyzed the forest dynamics in typical ecotone ( warm temperate zone to semitropical in qinling woods ) using the higher spatial resolution tm data

    本論文利用1995 - 1996年noaa氣象衛星的ndvi （ 1km 1km ）數據，採用無監督分類方法對中國東部樣帶南方部分進行植被類型的劃分，分析各植被類型的ndvi變化情況；並利用較高精度的tm數據分析典型交錯區域（暖溫帶到亞熱帶的秦嶺林區）的森林動態變化情況。
  3. 1, q 3, and at last prove the exisitence of ( q, m + n, n, m ) resilient functions when n > q ? 1. intelligentized ids methods, which can make the system more adaptability and self - studying, are important research directions of ids so far. in order to make the ids systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver - gence of the algorithm. in addition, we validate the validity of the algorithm by means of experim - ents ; at the same time, through studying ica and neural networks, we propose fastica - nn ids, and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages

    為了使入侵檢測系統對新的入侵行為有更好的識別能力和識別效率，本文在研究了各種基於無監督學習的入侵檢測特徵提取方法的基礎上，提出了基於增量核主成份分析（ ikpca ）的入侵檢測特徵提取方法，並對該方法進行了收斂性分析，同時結合模擬試驗對其正確性進行了驗證;另外，本文通過研究獨立成份分析和神經網路，提出了基於快速獨立成份分析和神經網路的入侵檢測方法（ fastica - nnids ） ，並通過對kddcup99的10 %數據集的檢測比較了核主成份分析（ kpca ） 、增量核主成份分析（ ikpca ）和快速獨立成份分析（ fastica ）在入侵檢測特徵提取方面的優缺點。
  4. Second, the moves of going on the market of scb are recombination of going on the market dividually, foundation of state - owned enterprise, more alteration and the whole going on the market

    國有產權難以形成選擇銀行經營管理者的市場機制，難以造就優秀的銀行經理隊伍，導致經營監督的無效。形成國有商業銀行上市難的根本性原因，是主要原因。
  5. The multiscale mixed distribution models ( mmdm ) and the multiscale autoregressive ( mar ) models are investigated in this thesis, and they are applied to the unsupervised segmentation of the synthetic aperture radar ( sar ) image by joining them together - the multiscale mixed distribution models as the feature extractor and the multiscale autoregressive models as the classifier

    本文對多尺度混合分佈模型（ multiscalemixturedistributionmodels簡記mmdm ） ，其中主要是對多尺度混合gauss分佈模型（ multiscalemixturegaussianmodels簡記mmgm ）和多尺度混合rayleigh分佈模型（ multiscalemixturerayleighmodels簡記mmrm ）進行了研究，及對多尺度自回歸（ multiscaleautoregressive簡記mar ）模型進行了研究，並將mmdm作為圖像分割的分類器， mar模型作為圖像分割的特徵提取器對合成孔徑雷達（ syntheticapertureradar簡記sar ）圖像無監督分割進行了研究。
  6. The third chapter provides evidence that the goal of setting up the organic structure system for the bank supervision and regulation is to effectively use the supervisory resources, by comparing the body of regulatory authorities, internal sections and branches, governing control system is a financial safety net, which consists of the normal means, deposit insurance system and the lender of last resort system

    其中組織機構體系是從監管主體、內部部門和分支機構設置三個層次展開，結論是無論如何設置監管的組織體系目的是監管資源的有效利用。調控管理體系是保護銀行的安全網，它包括一般性方法、存款保險制度和最後貸款人制度，這一部分的結論是為防止道德風險應該在監管中增加市場紀律和私人部門監督的作用。
  7. The specific objects of civil protest system supervision are discussed in the paper, the objects of civil protest supervision are the civil procedure, which includes the visible juridiction process and the invisible argument process

    民事抗訴監督的對象是法院的民事訴訟程序，而程序包括有形的審理過程和無形的論證過程。 1 、對有形的審理過程的監督主要包括對審判組織的監督、對開庭審理的監督。
  8. Ability to perform job functions with minimal supervision

    在無人監督的情況下能夠完成工作職能。
  9. Document clustering techniques have been received more and more attentions as a fundamental and enabling tool for efficient organization, navigation, retrieval, and summarization of huge volumes of text documents. the aim of document clustering is to cluster the documents into different semantic classes in an unsupervised manner

    文本聚類作為一種對大規模文本信息進行有效地組織、導航、檢索和概括匯總的關鍵的、基本的技術而日益受到關注，其主要目的是在語義空間里以無監督的方式將文本集中的文本劃分成不同的類。
  10. This approach is an unsupervised, statistical, data - driven approach

    這種演算法是一種無監督的、基於統計的、數據驅動的方法。
  11. Still, no matter how good any animal is with children, you should never leave them unsupervised

    當然，無論動物和兒童相處得多麼好，你還是應該不要讓他們在無監督的時候相處。
  12. This method makes use of the semantic meaning of audio keywords and the confident boundary of unsupervised scene clusters, the structured events are extracted more accurately

    該方法充分利用了音頻關鍵字的豐富語義和無監督的場景的可靠邊界做到結構事件的準確提取。
  13. Because scenes have much difference in appearance, we adopt unsupervised scene clustering for its universality, which groups video shots with similar visual content into same cluster

    對于視頻來說，由於存在較大的場景差異，因此採用無監督的場景聚類，達到通用性的目的。
  14. Clustering analysis is one of most heated research topic of the day. data clustering, a unsupervised classifying method, is the process of grouping together similar multi - dimensional data vectors into a number of clusters or bins

    聚類就是把一個沒有類別標記的樣本集按某種準則劃分成若干類，使類內樣本的相似性盡可能大，而類間樣本相似性盡量小，是一種無監督的分類方法。
  15. Different from previous document clustering method based on nmf, our methods try to discover both the geometric and discriminating structures of the document space in an unsupervised manner, companied with high accuracy in acceptable computationally expensive

    與基於nmf演算法的文本聚類不同，我們的演算法力求以無監督的方式，在時間復雜度允許的范圍內，找到更適合於分類操作的數據向量間的幾何局部特徵向量及相應的各文檔的編碼向量。
  16. The application of clustering into information filtering, to a certain degree, promotes the filtering efficiency of the system, and plays an active role in the examination of the precision and recall of the text. the indeterminacy and vagueness of natural language cause difficulty to nlp

    本質上，聚類屬於一種無監督的學習，將聚類技術應用於信息過濾中可以在一定程度上提高系統的過濾效率，同時也對信息過濾的查準率與查全率有積極的作用。
  17. The details are as follows : firstly, in order to extract audio / visual middle level features, we adopt supervised audio classification and unsupervised scene clustering to satisfy the requirement of generality. the audio is robust and supervised audio classification is general in the same type sports video

    具體來說本文的工作可以分為以下幾點:首先，在體育視頻中層特徵提取上，本文採用了有監督的音頻分類和無監督的場景聚類以適應通用性要求。
  18. At the same time, we optimize the method by initializing the snmf with the spherical k - means and the nnls ( non - negative least squares ). by combination of snmf and the method lpi ( locality preserving indexing ), we get better performance in clustering accuracy

    同時採用球形k -平均演算法和nnls （非負最小平方差）演算法的結果初始化snmf演算法以達到改進和優化snmf演算法的目的;通過結合snmf演算法與lp （ i局部保留索引）演算法以實現在無監督的方式下取得更準確聚類結果的演算法。
  19. An attribute means clustering binary tree is presented in this paper. the binary tree is extends naturally and turns to be a supervised classification method. the orl database is used to evaluate the proposed method. the performance of the attribute means clustering binary tree used in face recognition is compared with the standard eigenface approach and improves their performance much in the experiment

    在無監督的屬性聚類網路的基礎上，提出了一種二叉樹分類方法。此二叉樹自然地在無監督聚類的基礎上擴展開來，成為一有監督的分類方法。用orl人臉數據庫做了測試，同標準的特徵臉eigenface方法相比，識別率得到了較大的提高。
  20. In the course of the research, explore an application program of sont and bring forward point of view of preset nerve cell and auto - adjust the structural of network. it not only appear guide effect of gas prognosticate, but also provide new methods for reference of other field of unsuperintend pattern recognize.

    在本次的研究過程中，成功地開發了sont的應用程序，並且提出了神經元預置和自行調整網路結構的觀點，不僅在本次的油氣預測中起了一定的指導作用，而且還為無監督的模式識別在其它領域的運用提供了新的借鑒。
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