更新演算法 的英文怎麼說

中文拼音 [gēngxīnyǎnsuàn]
更新演算法 英文
updating algorithm
  • : 更副詞1. (更加) more; still more; even more 2. (再,又) further; still further; furthermore
  • : Ⅰ形容詞1 (剛出現的或剛經驗到的) new; fresh; novel; up to date 2 (沒有用過的) unused; new 3 (...
  • : 動詞1 (演變; 演化) develop; evolve 2 (發揮) deduce; elaborate 3 (依照程式練習或計算) drill;...
  • : Ⅰ動詞1 (計算數目) calculate; reckon; compute; figure 2 (計算進去) include; count 3 (謀劃;計...
  • : 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...
  • 更新 : renew; replace; renovate; update; renewal; angenesis; restoration; regeneration; kainogenesis; tu...
  1. Adaptive background update algorithm for bus apc

    一種適于公交乘客計數的自適應背景更新演算法
  2. An algorithm for updating map image oriented to aviation gis

    的地圖背景更新演算法
  3. When these models deal with material uncertainty, there are different from basic thought and method in detail, but the reasoning has the same hypostasis and they have the same form of structure, such as the same description of knowledge " uncertainty, the same description of evidence ' s uncertainty, the same update algorithm of uncertainty and so on

    不同的推理模型處理問題的基本思想和方有很大的差異,但不確定推理的本質是相同的,都具有一個相同的結構形式,即對知識不確定性的描述,證據不確定性的描述和不確定性的更新演算法
  4. We analyze the classifying results based on the fuzzy text classifying, think the wrong classifying results can be divided into two styles, and we propose a subordinative degree update algorithm aim at the two instances. combined the nizzy semantic relationship classifying algorithm, we propose the gradual classifier construction algorithm through checkouting and correcting the wrong results constantly with the update formula.

    在模糊文本分類的基礎上,對分類結果進行了分析,將分類錯誤歸結為兩種類型,並針對這兩種情況提出了隸屬度更新演算法,結合模糊語義關聯度的分類提出了運用公式不斷對分類結果進行校驗糾錯進而逐漸地構造分類器的
  5. An algorithm of map automatic updating for economic statistic gis

    經濟統計地理信息系統中的一種地圖自動更新演算法
  6. 2. the updating algorithm of strapdown matrix is one of the crucial techniques of sins. there are several kinds of attitude updating algorithms of sins, such as direction cosine algorithm and quaternion algorithm

    捷聯矩陣更新演算法是捷聯系統的關鍵技術之一,捷聯慣導系統姿態有歐拉角、方向餘弦、四元數和圓錐補償等幾種方
  7. In order to handle dynamic data set in database of industrial field, several incremental algorithms including nbia and fup are discussed. an improved fast update algorithm with level wise search structure based on fup algorithm is proposed for the incremental data

    針對工業現場數據庫動態特點,分析了nbia和fup兩種增量挖掘,提出了一種的在增量數據庫基礎上進行分層搜索的快速更新演算法ifup 。
  8. According to the characteristics of tv - guided bombs, we put forward tv - guided image tracking algorithms and adaptive updating algorithms for templates based on partial derivative correlation function - then we designed a partial derivative correlation tracker and carried out simulation test for a group of gray - scale images

    摘要針對電視制導炸彈的特點,提出一種基於偏導相關函數的電視圖像跟蹤和模板自適應更新演算法,在此基礎上設計出偏導相關跟蹤器並對一組灰度圖像進行模擬試驗。
  9. Dynamic data updating algorithm for image superresolution

    影像超解析度重建中的動態數據更新演算法
  10. An efficient algorithm qais is proposed that uses the efficient method to reduce database access activity, and present a novel algorithm aiu based on this algorithm, it is fit for mining association rules and incremental updating. it is especially effective in vldb, mining long patterns, and high support. the perfermance of qais / aiu is verified on the basis of synthetic data, experiments show that the proposed algorithm can mine association rules more efficiently by not generating candidate itemsets and reducing the redundancy of frequent itemsets while generating association rules

    然而目前大多數挖掘關聯規則的往往必需多次掃描事務數據庫才能達到要求的目標,這樣重復性的數據庫存取動作將會導致過多的執行時問浪費在i o動作上,另外在頻繁集生成規則時現有的沒有考慮到規則的大量冗餘,為了解決這個問題本文提出了一個不需要生成候選集同時有效的去除生成規則時產生大量冗餘的qais ,來提高關聯規則生成的速度,並且在此基礎上提出了穎的關聯規則增量更新演算法aiu ,通過應用合成數據驗證了qais aiu的有效性,由試驗結果來看這個方確實能有效且準確地獲得事務數據庫的關聯規則,尤其適合挖掘超大數據庫中高支持度下長模式的挖掘。
  11. The order of our discussions " about these tasks is as follows : firstly, we pay more attention to the characteristics and difficulties of its environment including the concept, typical system model, main challenges, mobile network connection and soft application. secondly, according to mobile specialties of the environment we make the sort of data into four kinds : general data, time series, spatial data and time - spatial data, and present general processing of data mining. lastly, we discuss the methods of data mining of these four kinds respectively : after the introduction of the actuality of data mining of every kind, an algorithm of rule updating based on rough set is given, then put forward the processing of data related to mobile users and flow chat according to characteristics of the other three kinds

    本文對以上任務的討論順序安排如下:首先是對移動計環境的技術特點和難點進行討論,包括移動計的概念和典型系統模型、主要挑戰、移動聯網以及軟體應用這幾個大的方面;其次根據移動環境的移動特性把移動計環境中的數據分為普通數據,時間數據,空間數據以及時空數據,提出了在移動計環境中數據挖掘的一般流程;接下來分別對這四類數據進行挖掘的討論:每一部分都是先介紹該類數據的挖掘方研究現狀,對于普通數據,針對我們已提出的一種挖掘-粗糙集( rs ) ,提出了對應的規則更新演算法,對於後三種數據,本人根據其在移動計環境中的特點分別提出了與移動用戶相關的該類數據的一種具體的處理方流程圖,包括基於移位連接方的多屬性時間序列的挖掘,基於apriori的空間關聯規則數據挖掘方以及關于移動用戶移動模式的時空數據挖掘方,並用matlab對其中的規則更新演算法和時間序列的挖掘這兩方面進行了實例模擬。
  12. Through analyzing actual traffic scene, especially considering the video change between adjoining frames, this paper presents a robust and real - time method for extracting and updating background, and realizes the algorithm of vehicle detection based on background subtraction

    摘要通過對交通場景實際情況的分析,特別是考慮到視頻在相鄰幀之間的變化,提出了一套魯棒、實時的背景提取及更新演算法,實現了基於背景差分的車輛檢測和提取。
  13. International conference on clustercomputing and the grid ccgrid 2001, brisbane, australia, may 2001, p. 161. 15 goil s, choudhary a. an infrastructure for scalableparallel multidimensional analysis

    同時,本文還給出了基於phc存儲結構的并行區域查詢和動態更新演算法,這兩個的時間復雜性均均為o logdn p 。
  14. The main contents can be listed as follows : 1. after analyzing the properties of the natural illuminating system, a region - based background and natural illumination model is set up using the histogram of image difference and rls filter. on the basis of that model, we propose an adaptive algorithm of judging and updating background image

    基於戶外自然光照系統的特點,建立了基於圖像差分直方圖和遞推最小二乘濾波( recursiveleastsquarefilter ,簡稱rls濾波器)的局域化背景和光照變化模型,提出了自適應的背景判斷和更新演算法
  15. The background subtraction method is used to retrieve the foreground, and the mixture gaussian model is used to model the background, during the modeling, the improved k - means algorithms is applied to improve the speed of background modeling ; 2. in the process of the background updating, the updating algorithms based on statistical average is used to update the background, compared to the traditional background updating methods, it improves the speed of the background updating ; 3. to solve the problem that the detection method based on gaussian shadow model detects the shadow inaccurately under some situations, a novel algorithm based on the body color vector matching is presented to detect and eliminate the shadow

    本文在總結和分析了國內外相關研究工作的基礎上,針對運動物體檢測與提取中如何檢測與提取前景區域以及如何檢測與去除陰影的問題開展研究,其主要研究內容和成果如下: 1 .採用背景減除提取前景區域,利用混合高斯模型進行背景建模,建模過程中,引入了改進的k -均值,加快了背景建模的速度,提高了背景建模的質量; 2 .在背景的過程中,採用了基於統計平均的更新演算法,相對于傳統的背景,提高了背景的速度; 3 .針對運動物體陰影檢測與去除中,基於高斯陰影模型的陰影檢測方在某些情況下對陰影檢測不準確的問題,提出了一種基於體色向量匹配的陰影檢測與去除
  16. The research on the incremental updating algorithm for mining association rules

    關聯規則增量式更新演算法的研究
  17. The algorithms for training weights update and constructing the target vectors are discussed. use the penalty term to improve the astringency of network. and study how choice the appropriate initial weights

    著重研究了根據輸入和輸出量合理選擇網路結構,訓練權值的更新演算法,目標向量的合理構造,帶懲罰項的bp網路,改善了網路的收斂性。
  18. The thesis has implemented adaptive background model to detect moving objects. we propose to operate in the hue - saturation - value ( hsv ) color space, instead of the traditional rgb space, and show that it provides a better use of the color information, and naturally incorporates gray - level only processing. at each instant, the system constructs three gauss distribution for a pixel and maintains an updated background model, and a list of occluding regions that can then be tracked

    此外,自適應的背景模板,採用圖像上的每個象素點的h 、 s 、 v的分佈為高斯分佈建立的三維模型,該模型與實際情況比較接近;在背景、前景的判斷上,充分利用了顏色信息;而且在更新演算法上也考慮了學習率的問題。
  19. Incremental updating algorithm and parallel processing technology were used to raise the efficiency of data mining and reduce the time complexity

    由於使用了增量更新演算法和并行處理技術,從而提高了數據挖掘的效率,降低了時間復雜度。
  20. The algorithm of upgrading of general face recognition system is based on all serial algorithm in a single computer, it is very slow to deal with a large amount of data, and the efficiency is low. so, this article introduces the application of grid computing in face recognition system, upgrades the original serial algorithm of face data into parallel algorithm in the grid platform by using mpi parallel program, realizes the already existing updated algorithm of the recognition of face to be processed in the distributed computers, which has strengthened the systematic ability to deal with a large amount of data, in order to improve systematic performance

    常規人臉識別系統中的更新演算法都是基於單機的串列,在處理大量數據的時候速度慢,效率低,介紹了網格計在人臉識別系統中的應用,把原來的人臉數據串列改為并行並通過編寫mpi并行程序移植到該網格計平臺中運行,實現了原有人臉識別系統中更新演算法的分散式處理,增強了系統處理大量數據的能力,以達到提高系統性能的目的。
分享友人