relevance feedback 中文意思是什麼
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The group is charged with the responsibility to advise on the formulation of risk communication strategies and action plans in the chp, to establish and reinforce communication networks for timely and effective communication of risks associated with communicable diseases and non - communicable diseases, to facilitate cd and ncd risk communication using a variety of channels and means, and to provide independent assessment and feedback on the effectiveness and relevance of risk communication actions implemented by the chp
小組的職責范圍包括：就生防護中心制定的風險傳達策略及方案提出建議通過建立及化溝通網路，適時及有效地傳遞有關傳染病及非傳染病的風險訊息透過不同的渠道及方法促進傳染病及非傳染病的風險傳達，並就生防護中心推行的風險傳達措施之成效及適切性提供獨立評估及意見。 -
In or der to im prove the index precision, the keywords of classification on im age database is used for for m ing a three - level sem a ntics network, and then a unified fra m ework for sem a ntics and feature based relevance feedback in region - based im age retrieval is described, which is experim e nted by irrelatively adjusting the keywords and the weights in the distance m easuring
根據檢索要求，應用圖像庫的分類關鍵字建立圖像語義網路，採用一種綜合圖像中多數區域特徵的匹配策略，以及建立區域語義和低層特徵無縫結合的相關反饋檢索框架，通過不斷調整檢索關鍵字、檢索向量與距離測度中的權重系數的方法提高檢索準確度。 -
Salton, g. & buckley, c. " improving retrieval performance by relevance feedback, " journal of the american society for information science, 41 ( 4 ), 1990, pp. 288 - 297
李宜容， "人文及社會學科讀者使用線上公用目錄檢索詞匯之研究" ，淡江大學教育資料科學研究所碩士論文，民85年。 -
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。 -
Research of relevance feedback based on semantic in search engine
搜索引擎中語義相關反饋技術的研究 -
Furthermore, how to use relevance feedback in content - based image retrieval system is discussed
探討了在基於內容的圖象檢索中相關性反饋機制的建立。 -
After simulating the two classic algorithms proposed by rui and aksoy, we propose a novel feature re - weighting approach for relevance feedback
在此基礎上，提出了一種新的基於修改特徵權重的相關反饋新演算法。 -
Finally, the precisions and recalls of single feature, multi - feature integration and relevance feedback are calculated and compared
最後分別給出基於單一特徵，特徵融合和相關反饋方法的查準率和查全率，並對試驗結果進行分析。 -
Firstly, one image retrieval framework based on “ fuzzy semantic relevant matrix ” ( fsrm ) is proposed, which uses users ’ relevance feedback sufficiently
首先提出了一種基於「模糊語義相關矩陣」的圖像檢索模型，該模型充分利用了用戶的反饋。 -
Relevance feedback techniques and high dimensional indexing schemes are two significant research issues for content - based image retrieval in large - scale image database
相關反饋方法和高維數據的索引機制是面向大規模圖像庫基於內容檢索的兩個重要問題。 -
Irobot will receive the relevance feedback of the result and revise the keywords and initial link set. finally, the thesis summarizes the experience of designing irobot system
文章的最後總結了irobot系統的研究和開發經驗，並對未來的工作進行了展望。 -
In this article, based on the introduction of framework of cbir with relevance feedback, a real image retrieval system was constructed
本文詳細介紹了基於相關性反饋技術的圖像檢索系統框架。在此基礎上設計並實現了一個基於相關性反饋技術的圖像檢索系統。 -
Thirdly, an emphasized research is focused on the appliance of relevance feedback in cbir, and an improved method based on the relevance of the users is given
本文重點研究了相關反饋機制在圖像檢索中的應用，給出了一種基於用戶反饋的互動式圖像檢索方法。 -
Then, with the relevance feedback mechanism, users could not only control the retrieval procedure, but also obtain satisfying retrieval results by adjusting relevance weights
為了使用戶能夠參與檢索過程，又引入了相關反饋機制，通過調整權值使得檢索的結果最終滿足用戶的檢索要求。 -
Several key techniques corresponding to m a in six steps in region - based im a g e retr ieva l are introduced in detail. also com b ing with active resear ch in this area, a n approach of building region and im age se m a ntic networks and applying relevance feedback for im proving on retrieval ef ficiency of based on the low - level features is presented
本論文針對基於區域語義和低層特徵圖像檢索的6個步驟，詳細介紹了該領域的關鍵技術，並結合目前國內/外在這一領域的研究熱點，提出了建立區域語義網路和應用相關反饋技術改進基於低層特徵檢索效果的方法。 -
In the short time relevance feedback session, the images are clustered to catch the semantic requirement using the user ’ s relevance feedback information. a multi - layer retrieval algorithm is also proposed to learn the hidden semantic information
而在用戶的短期反饋中，我們利用用戶給出的反饋信息在語義網路中聚類，快速捕獲用戶在語義上的檢索企圖。 -
The experiments, based on a standard database including 1000 images in the core cd, demonstrate the proposed framework has extraordinary improvement on the retrieval speed, relevance feedback, and long - term memory
模擬實驗採用了1000幅corecd的圖像，證明了該演算法在檢索速度，反饋性能和長期學習上都有極大地進步。 -
As we know, retrieving image through semantic features is the most desirable and useful way. in this thesis, a semantic feature databases built dynamically based on relevance feedback was proposed
提出基於種子圖像為檢索範例圖像，採用相關性反饋的方法來動態構造語義特徵數據庫，最終實現基於語義的圖像檢索方法。 -
Relevance feedback techniques are important approaches closing up the semantic gap between high - level concepts and low - level features in image retrieval effectively, and efficient indexing schemes for high - dimensional data are required for real - time retrieval in large - scale image database
相關反饋方法是彌合圖像檢索中高層語義和低層特徵之間語義間隔的一個重要途徑，而有效的高維索引機制則是面向大規模圖像庫的檢索能夠達到實時性要求的關鍵技術。 -
Experiments show the presented hierarchical indexing scheme outperforms the original vq - based indexing method and probabilistic approximate nn searches. both presented approaches support quadratic - form distance metric and can integrate with relevance feedback techniques for practical large - scale image retrieval systems
通過對二次型距離的推廣，提出了二分量判別函數，使用非線性的方法抽取反映散度判據和距離判據的特徵，具有比線性方法具有更高的檢索精度。
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