bayesian probability framework

基本解釋

• [計算機科學技術(shù)]貝葉斯概率框架

英漢例句

雙語例句

• Each probability items in the Bayesian framework have the specific meanings.
  該框架下每個概率項都有其具體的含義。
• For a foggy input image, there is a clear image correspondingly. The Bayesian framework is established using the maximum probability of the corresponding clear image appearing for a given foggy image.
  對于輸入的一幅有霧圖像，會存在一幅清新圖像與之相對應(yīng)，我們就是要求清新圖像在有霧圖像已知情況下出現(xiàn)的概率最大，為此利用圖像的統(tǒng)計模型建立了貝葉斯框架。

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專業(yè)釋義

計算機科學技術(shù)

• 貝葉斯概率框架

  Bayesian probability framework is a theory to transfer a priori probability to posterior probability. This thesis provides a formal Bayesian framework for image classification problems, which maps the low-level image features to the intrinsic high-level semantics.
  貝葉斯概率框架是一種將先驗概率轉(zhuǎn)化為后驗概率的理論框架,通過形式化的圖像分類概率框架可以將低級圖像特征映射到已有的高層語義。