auto correlogram 中文意思是什麼
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In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space, and change the bandwidth function. then we propose the semantic relevance feedback. the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values
本文引入顏色自相關圖特徵作為圖像在底層特徵空間相鄰的度量，並修改了框架中帶寬的計算函數，然後引入反饋機制，對于用戶的正反饋和負反饋分別作不同的處理，以便在使用過程中，系統能夠繼續學習，根據反饋更新圖像的概率鏈表，使之逐漸接近真實情況。
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