無監督分類 的英文怎麼說

中文拼音 [wújiāndūfēnlèi]
無監督分類 英文
unsupervised classification
  • 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
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 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. 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。
  4. 3 ) k - mean clustering algorithm is used classification. the category is two, according to the object and the experience knowledge

    3 ）應用無監督分類演算法中k均值（ k - means ）聚類演算法對輸入特徵向量進行分類。
  5. Due to its unsupervised learning ability, clustering has been widely used in numerous applications, such as pattern recognition, image processing, market research and so on

    聚類具有無監督學習能力，被廣泛應用於多個領域中，如模式識別、數據分析、圖像處理以及市場調研等。
  6. The main work includes : the research and conments about some recognition methods ; the research and comments about three kind of mathematics morphologic arithmetic ; clustering ; matlab embedded in the vb ; the difference analysis in the dynamic image and so on

    主要做的工作包括幾種識別方法的研究與評述；三種數學形態學演算法的實現以及各自的優劣比較；利用無監督學習進行聚類以及matlab在圖像處理中的嵌入；動態圖像的差分分析等。
  7. 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。
  8. 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。
  9. 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。
  10. 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。
  11. Clustering, which is used to differ and classify the things according to their comparability, is a process in which there is no one to guide them. so it is a non - supervising classifying

    聚類就是按照事物間的相似性進行區分和分類的過程，在這一過程中沒有教師指導，因此是一種無監督分類。
  12. 2 ) to increase the difference, the non - linear transform function is used. the each pixel is computed by the average of a window ' s energy, which is gabor wavelets energy and the input feature vector of unsupervised classification

    2 ）對濾波后圖像進行非線性處理，以加大不同類之間特徵的差異，給出了計算圖像gabor小波能量特徵的計算方法，該能量特徵作為無監督分類器的輸入向量。
  13. The company has devoted, since its inception, to a steady and healthy development mode and is the first of this kind in fuzhou region which products were tested qualified, in accordance with the state quality supervision center of fireproof construction materials gb 86241997 graded methods of inflammation of construction materials, by the zhejiang provincial firefighting brigade. its inflammation meets all standards inscribed in gb 86241997 class a non - flammable and ga 160 - 1997 non - flammable inorganic compound board. fuhong class a inorganic dampproof fireproof board is a kind of novel hi - tech board, a class decoration requirement of the gb 6566 - 2001 standard of state environment protection administration environment protection building material technology requiremen symbolizing your distinguished status and an ideal guarantee of your elegant life

    我司致力於穩健發展，產品為福建省福州地區第一家經省消防總隊抽樣，通過「國家防火建築材料質量監督檢驗中心」按強制性國家標準gb 86241997建築材料燃燒性能分級方法進行防火安全性能型式檢驗，其燃燒性能達到gb 86241997規定的a級不燃性及ga 160 - 1997不燃性無機復合板全項性能合格，並同時通過國家環境保護總局綠色環保建材技術要求之gb 6566 - 2001標準的a類裝修材料要求。
  14. 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。
  15. 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 technique is to cluster different documents into different semantic classes based on their content in an unsupervised manner

    文本聚類作為一種對大規模文本信息進行有效組織、導航、檢索和概括匯總的基礎、關鍵技術而日益受到關注，其主要目的是以無監督指導的方式根據文本的內在關系將內容近似的文本分成不同的類。
  16. In view of whether it has the stationary class system. it can be divided into supervised automated classification and unsupervised automated clustering

    根據是否有固定的類別體系可分為有監督（ supervised ）的自動歸類和無監督（ unsupervised ）的自動聚類。
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