expectation-maximization algorithm 中文意思是什麼

expectation-maximization algorithm 解釋
最大期望演算法
  • expectation : n. 1. 期待，期望；所希望的東西。2. 〈pl. 〉 前程，（發跡，繼承遺產的）希望。3. 估計。4. 期待療法。5. 【數學】期望值。
  • maximization : 極大化, 最大化
  • algorithm : n. 【數學】演算法；規則系統；演段。
  1. An efficient implementation of this framework is presented, for segmenting two motions ( foreground and background ) using two frames. the expectation - maximization algorithm is used to determine the two motions and calculate the label probability for each edge. the best motion labeling for these regions is determined using simulated annealing

    針對前景和背景兩種運動分割的情況，本文給出了一種基於貝葉斯分割框架的有效實現，它使用最大期望（ em ）演算法來估算邊緣的標定概率，並通過模擬退火演算法來完成這些分割區域的最佳運動標定。
  2. This paper proposes a new algorithm, called edge - based texture driven shape model e - tdsm, for non - frontal face alignment task. first, the texture is defined as the un - warped edge image contained in the shape rectangle ; then, a bayesian network is constructed to describe the relationship between the shape and texture models ; finally, expectation - maximization approach is utilized to infer the optimal texture and position parameters from the observed shape and texture information

    姿態的變化使得人臉形狀的分佈變得非常復雜，特別是側臉圖像，由於自遮擋的原因，採用單一的模型有時候很難表達人臉形狀的分佈同時，再加上光照的變化，一方面使得人臉輪廓容易和背景混淆，另一方面有可能會在人臉上形成偽邊界，使得輪廓線被錯誤地定位到這些偽邊界線上。
  3. The algorithm divides the data into groups by sampling the training data, initializing to a number of random points, and then running several iterations of the microsoft clustering algorithm using the expectation maximization clustering method

    該演算法可以對定型數據采樣，初始化為一些隨機點，然後使用expectation maximization （ em ）聚類分析方法運行幾次microsoft聚類分析演算法迭代，以此將數據分組。由於
  4. Experimental results illustrate that the performances of the proposed system is better than the discriminant cem ( classification expectation maximization ) algorithm, particularly when there are noise data and new patterns

    實驗結果表明半監督學習自適應諧振理論系統的性能優于判別式cem演算法，特別是在含有噪音和新模式數據情況下，其優勢更為明顯。
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