optimization computing methods 中文意思是什麼

optimization computing methods 解釋
最優化計算方法
  • optimization : n. 最佳化,最優化。
  • methods : (方法):是指定給對象的函數。在函數被指定給對象之後,該函數就可以被稱為是該對象的方法。
  1. Recent researches extend the single axis approach to recover unknown rotation angles from uncalibrated image sequence based on a projective geometry approach. but these methods limited by the expense of computing fundamental matrices and trifocal tensors or of the nonlinear optimization involved in computing epipolar tangencies

    因此,探索一種有效而簡單的演算法,求解單軸旋轉運動中的不變量和旋轉角度,是當前計算機視覺技術中的一個熱點研究課題,也是本文的研究目的和出發點。
  2. When taking part in the bci competition iii, t - weighted approach for feature extraction and reinforcement learning of classifier design are proposed. compared to other methods, t - weight approach has the advantages of requiring less a prior knowledge, exploring more information and computing faster. reinforcement learning is an optimization method both model driven and data driven aiming at mining the discriminative information as more as possible, and improving both the fitting and generalization ability of an existing classifier

    相比其它特徵提取方法, t加權方法具有對先驗知識要求少、信息利用充分、計算快速等優點;而分類器設計的強化學習方法是模型驅動與數據驅動相結合的一種分類器優化方法,其思想在於充分挖掘樣本判別信息,在已有分類器基礎上進一步提高對數據的擬合能力及泛化能力。
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