樣棒檢驗 的英文怎麼說

中文拼音 [yàngbàngjiǎnyàn]
樣棒檢驗 英文
mold bar inspection
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 棒 : Ⅰ名詞（棍子） stick; staff; club; cudgel Ⅱ形容詞[口語] （強; 高; 好） strong; excellent; good
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 驗 : 動詞1. （察看; 查考） examine; check; test 2. （產生預期的效果） prove effective; produce the expected result
  • 檢驗 : checkout; test; examine; inspect; verify; survey; check;checking;testing;[英國]jerque（指檢查船舶...
  1. Experimental results show that after reducing the dependency of features, sa method works better. the most three important features of the license plate regions are obtained in the experiment and our algorithm is robust in filtering out false plate regions. in the module of binarization of license plate, based on algorithm of casda ( cluster algorithm based on spatial distribution analysis ) an improved quick binarization algorithm i - casda are proposed to get rid of the influence of the illumination

    運用本演算法對復雜背景的車輛牌照進行檢測，實驗結果表明，基於簡單平均融合運算元的檢測演算法得到的檢測率高， 80 . 36 （訓練樣本）和76 . 54 （測試樣本） ，平均檢測速度為每幅圖象0 . 81秒，滿足實時性要求；區域寬高比、區域密度和區域寬度比率是車牌區域最重要的三個特徵；本演算法魯棒性好，可較好地排除相似紋理區域（如廣告牌等）的干擾。
  2. Examinations show that our arithmetic can make good use of hvs system, and is robust to common image processing such as noise, mean - filter, sub - sample and jpeg compress. string - type watermark is more robust

    經過試驗檢驗，該演算法不僅能很好地結合hvs系統，且對一般圖像處理（對抗噪聲、均值濾波、亞抽樣和jpeg壓縮）都具有好的魯棒性，字元型水印的效果更佳。
  3. The thesis is focused on above associated issues. ransac algorithm is a classical method of robust model parameter estimation. a preview model parameters evaluation ransac ( peransac ) algorithm is developed, which introduces a preview model parameters evaluation in the ransac algorithm, and results in better performance since the worse contaminated samples are discarded with guaranteeing the same confidence as ransac

    隨機抽樣一致性（ ransac ）演算法是一個經典的魯棒性模型參數估計方法，本文提出了基於預檢驗的快速隨機抽樣一致性（ peransac ）演算法，通過對模型參數預檢驗，在保證計算結果置信度的基礎上，刪除明顯錯誤的模型參數，減少參與檢驗的模型參數數量，進而提高演算法的整體效率。
  4. The individual svm is prone to fail in the intrusion detection for the fragility of being attacked. this paper addresses a method using a support vector machines ensemble approach based on negative correlation learning for intrusion detection. using a correlation penalty term in the error function, the aggregate members can be accurate and diverse. and the evolutionary strategy is considered as the best way to automatically determine the individ. ual svms hyperparameters. at last we combine the results of all individual svms using ensemble technique. this distributed parallel detection can strengthen the robustness of the system. simulation results show the effectiveness of the method presented in this paper

    在入侵檢測中使用單個的支持向量機容易因"單點失效"而危害系統安全.提出一種基於支持向量機集成的方法來進行入侵檢測.它採用負相關學習技術，在誤差項中使用相關性懲罰因子使得生成的分類器有更好的多樣性和精度;演算法採用進化策略來自動地確定個體支持向量機的超參數，避免了需要了解問題的先驗知識;最後，採用集成技術來組合個體支持向量機的檢測結果.模擬實驗表明這一方法有更好的檢測性能，並且這種分散式并行檢測方法有利於增加入侵檢測系統的魯棒性
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