支持處理機 的英文怎麼說

中文拼音 [zhīchíchǔ]
支持處理機 英文
support processor
  • : Ⅰ名詞1 (分支; 支派) branch; offshoot 2 (地支) the twelve earthly branches3 (姓氏) a surname...
  • : 動詞1 (拿著; 握著) hold; grasp 2 (持有; 保持) keep; hold 3 (支持; 保持) support; maintain 4...
  • : 處名詞1 (地方) place 2 (方面; 某一點) part; point 3 (機關或機關里一個部門) department; offi...
  • : Ⅰ名詞1 (物質組織的條紋) texture; grain (in wood skin etc ) 2 (道理;事理) reason; logic; tru...
  • : machineengine
  • 支持 : 1. (勉強維持) sustain; hold out; bear 2. (給予鼓勵或贊助) support; back; stand by
  1. A method of face detection based on support vector machine ( svm ) is put forward. the features are extracted by applying the discrete cosine transform ( dct ) to the preprocessing image. the dct coefficients are inputted to the svm and the svm are trained using the cropped face samples and the " bootstrapping non - face " samples

    對預后的圖像進行離散餘弦變換提取特徵,取dct系數作為向量的輸入,將經過裁剪的「人臉」樣本與「自舉」方法得到的「非人臉」樣本一起用來訓練向量
  2. Support vector machine and its application in natural language processing

    向量及其在自然語言中的應用
  3. Support software, microprocessor

    軟體
  4. Expoles an algorithm about bearing surface defects detection by support vector machines that is the new branch of machine learning, in which the defective area and non - defective area are treated as two different textures and are sampled respectively to be learned, in order to reduce dimension, the image data can be processed by pca

    摘要提出一種基於向量的軸承表面缺陷檢測演算法,該演算法把軸承中的非缺陷區域和缺陷區域分別看作兩種不同的紋模式,利用主成分分析法( pca )對圖像進行降維,然後用向量方法對兩類不同的樣本采樣學習,進行分類判斷。
  5. Attached support processor

    附加支持處理機
  6. Support process, attached

    附接支持處理機
  7. Integrating kernel principal component analysis with least squares support vector machines for time series forecasting problems

    基於核主成分分析與最小二乘向量結合時間序列預測問題
  8. ( 6 ) the proposed support vector machine algorithms and classification methods are used in classifying operation state of wastewater treatment processes

    ( 6 )把向量論應用到污水過程運行狀態監控中去。
  9. Correlative component analysis ( cca ) was used to eliminate multicollinearity and noise of original sample data before classifying by svm. to improve the classification performance of svm and obtain the optimal discriminative function, the ega proposed in this work was used to optimize the parameters of svm including correlative components ( ccs ), penalty factor c, and kernel width factor

    因此,為了充分利用向量良好的分類能力,使之能存在復雜相關關系的觀測數據,給出了結合分類相關成分分析( cca )的向量建立分類模型的方法( cca - svm ) ,又利用本文第三章所提出的ega演算法優化分類相關成分數及向量參數。
  10. The research work in this dissertation is based on the following observations : ( 1 ) most existing rough set methods lack of suitable means to deal with distributed data environment ; ( 2 ) since the decision support ability of decision table will be reduced in rule induction process, the obtained rules can only offer limited decision support compared with the decision table

    本論文主要針對現存粗糙集方法缺乏對分散式存儲數據的代價較小的有效制以及在規則約簡過程中決策表決策能力的損失等問題進行了研究工作,提出了解決方法。論文針對現存粗糙集方法缺乏對分散式存儲數據的代價較小的制問題,提出了元信息方法。
  11. The idea is proposed that those increased date, which near the separating hyperplane, is significant for the forming of the new hyperplane, whenever these date are classed by the former hyperplane to test error set berr or test right set bok

    與傳統的增量學習方法不同,本文中,作者認為那些在分類面邊緣增加的數據對分類面的改變都起著重要的作用,無論這些數據被初碩士論文向量在圖像應用中若干問題研究始分類器p劃分到測試錯誤集berr或者測試正確集b 。
  12. Based on the formers, this dissertation efficiently selects the face features abstracting using ica. with no decline of recognition rate, the feature dimension is reduced, so the course of recognition is accelerated. support vector machine pattern recognition method is based on vc dimension theory, adopting the srm principle and considering training error and the generalization ability, which has shown many special advantages in dealing with small samples, non - linear and pattern recognition in high dimension

    本文採用基於矩陣s的人臉表示方法,將ica特徵選擇的概念和演算法用於人臉特徵的提取和優化,在不影響識別率的情況下,降低了特徵維數,提高了識別速度;向量( svm )模式識別方法基於vc維論,採用結構風險化原,兼顧訓練誤差和泛化能力,在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢;對于多類問題,介紹並採用了「一對一」的策略進行svm分類器設計;對于圖像預,詳細介紹了幾何歸一化的演算法步驟。
  13. The solution methods of support vector machine, including quadratic programming method, chunking method, decomposing method, sequential minimization optimization method, iterative solution method named lagrange support vector machine based on lagrange function and newton method based on the smoothing technique, are studied systematically

    主要有向量的二次規劃求解法、選塊法、分解法、序列最小優化方法、基於lagrange函數的迭代求解方法即lagrange向量、基於smoothing的牛頓求解方法。
  14. So, study and discuss the credit relationship between the commercial bank and the corporation, including the information distribution, the information communication, the information identification, the information disposal and so on, is very important to control and alleviate the credit risk and support the developing of the market economy

    因此,研究和探討信貸關系中銀行與企業之間的信息分佈、信息溝通、信息識別、信息制,對于防範和化解信貸風險,市場經濟發展,具有十分重要的意義。
  15. The rotational invariant descriptions were extracted in the recognition step and the svm ( support vector machine ) was used to recognize the characters on the chesses

    而後採用向量分類方法,對棋子信息進行分類識別,同時分析了誤差對識別準確率的影響。
  16. The main work is as follow : the pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. using this method we may get different grey vehicles from the background exactly. used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition ; improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines ; and to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization ; in the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates

    本文根據智能交通控制與模擬對于交通流量、車輛到達率、車輛速度等交通信息檢測的需求,基於視頻圖像進行了交通信息的演算法研究與實現,主要工作包括以下幾個方面:將先鋒遺傳演算法應用到圖像閾值分割中,利用先鋒遺傳演算法尋求全局最優閾值,可以比較準確的將圖像中不同灰度的車輛從背景中分離出來;採用向量論進行了車輛自動分類的模擬研究,模擬結果證明該方法能夠比較準確的將車輛的類型進行識別;改進了基於背景自動更新的虛擬檢測區域演算法,提高了車輛檢測的實時性和準確性;並對基於虛擬檢測區域的圖像演算法實現進行了詳細說明;論文中還介紹了基於灰度連續性的運動車輛特徵提取演算法進行車輛的特徵提取以及採用彩色過濾器同灰度圖相結合的定位方法進行車輛牌照定位的實現方法。
  17. Application of the support vector machine in remote sensed image processing

    向量在遙感影像中的應用
  18. It solved the problem that mapping of heterogeneous data by synchronized engine technology, the application of xml and agent technology. it also realized conflict detected mechanism. but regretfully, it provided little policy to another nodus : conflict resolved mechanism

    它通過對兩大主題: xml級應用和agent技術的,利用同步引擎技術能夠較好的解決異構數據映射問題和實現沖突檢測制,遺憾的是,它沒有對數據同步的另一難點?沖突制的解決策略提供強有力
  19. This paper comprises the discussion of intel ligent agent, natural language processing, document representation, document classification, support vector machine, and the detailed design and implementation of web news hunter intelligent agent system

    本文包括對智能代、自然語言、文本表示、網路搜索、文本分類和向量等網路挖掘相關領域的論、演算法和應用的探討,以及webnewshunter智能代的系統框架的設計與實現。
  20. Thirdly, the multiclass svm classifier based on one - against - rest mode is developed. because there are some text that are not distinguished, knn method and feature matching algoritllln can post - classify the non - distinguished text

    針對向量多類器中存在的文本漏識問題,採取knn方法和特徵匹配方法進行后,對失效文本實施二次分類,改善了多分類器的性能。
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