關鍵字查詢 | 類別:會議論文 | | 關鍵字:A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm

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序號 學年期 教師動態
1 95/1 資工系 顏淑惠 教授 會議論文 發佈 A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm , [95-1] :A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm會議論文A Content-Based Painting Image Retrieval System Based on AdaBoost AlgorithmYen, Shwu-huey; Hsieh, Ming-hsien; Wang, Chia-jen; Lin, Hwei-jen淡江大學資訊工程學系Institute of Electrical and Electronics Engineers (IEEE)Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on (Volume:3 ), pp.2407-2412A content-based painting image retrieval (CBPIR) system based on AdaBoost is proposed. By providing query examples which share the same semantic concepts, e.g., portraits, and incorporating with relevance feedback (RF), the user can acquire the desired painting images. To bridge the gap between low-level features and semantic concepts, a large set of 4,356 features on texture and spatial arrangement of painting images is provided. Utilize the nice characteristic of AdaBoost algorithm that it can combine partial weak classifiers, i.e. features, into a strong one, the system can correctly discover a few mos
2 95/1 資工系 林慧珍 教授 會議論文 發佈 A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm , [95-1] :A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm會議論文A Content-Based Painting Image Retrieval System Based on AdaBoost AlgorithmYen, Shwu-huey; Hsieh, Ming-hsien; Wang, Chia-jen; Lin, Hwei-jen淡江大學資訊工程學系Institute of Electrical and Electronics Engineers (IEEE)Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on (Volume:3 ), pp.2407-2412A content-based painting image retrieval (CBPIR) system based on AdaBoost is proposed. By providing query examples which share the same semantic concepts, e.g., portraits, and incorporating with relevance feedback (RF), the user can acquire the desired painting images. To bridge the gap between low-level features and semantic concepts, a large set of 4,356 features on texture and spatial arrangement of painting images is provided. Utilize the nice characteristic of AdaBoost algorithm that it can combine partial weak classifiers, i.e. features, into a strong one, the system can correctly discover a few mos
3 95/1 資工系 顏淑惠 教授 會議論文 發佈 A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm , [95-1] :A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm會議論文A Content-Based Painting Image Retrieval System Based on AdaBoost AlgorithmYen, Shwu-Hu; Hsieh, Ming-Hsien; Wang, Chia-Jen; Lin, Hwei-Jen淡江大學資訊工程學系Proceedings of 2006 IEEE International Conference on Systems, Man, and Cybernetics:Volume 3,頁2407-2412IEEE Systems, Man, and Cybernetics Society; National Taipei University of Technology20140213add by陸桂英;tku_id: 000105390; 000086204;Submitted by 桂英 陸 (deer@mail.tku.edu.tw) on 2014-02-13 No. of bitstreams: 0;Made available in DSpace on 2014-02-13 (GMT). No. of bitstreams: 0en國際20061008~20061011TWN2006 IEEE International Conference on Systems, Man, and Cybernetics臺北市, 臺灣<links><record><name>機構典藏連結</name><url>http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95771</url></record></links>
4 95/1 資工系 林慧珍 教授 會議論文 發佈 A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm , [95-1] :A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm會議論文A Content-Based Painting Image Retrieval System Based on AdaBoost AlgorithmYen, Shwu-Hu; Hsieh, Ming-Hsien; Wang, Chia-Jen; Lin, Hwei-Jen淡江大學資訊工程學系Proceedings of 2006 IEEE International Conference on Systems, Man, and Cybernetics:Volume 3,頁2407-2412IEEE Systems, Man, and Cybernetics Society; National Taipei University of Technology20140213add by陸桂英;tku_id: 000105390; 000086204;Submitted by 桂英 陸 (deer@mail.tku.edu.tw) on 2014-02-13 No. of bitstreams: 0;Made available in DSpace on 2014-02-13 (GMT). No. of bitstreams: 0en國際20061008~20061011TWN2006 IEEE International Conference on Systems, Man, and Cybernetics臺北市, 臺灣<links><record><name>機構典藏連結</name><url>http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95771</url></record></links>
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