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Titlebook: Intelligence Science and Big Data Engineering. Image and Video Data Engineering; 5th International Co Xiaofei He,Xinbo Gao,Zhancheng Zhang

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發(fā)表于 2025-3-21 18:48:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligence Science and Big Data Engineering. Image and Video Data Engineering
副標(biāo)題5th International Co
編輯Xiaofei He,Xinbo Gao,Zhancheng Zhang
視頻videohttp://file.papertrans.cn/470/469280/469280.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Intelligence Science and Big Data Engineering. Image and Video Data Engineering; 5th International Co Xiaofei He,Xinbo Gao,Zhancheng Zhang
描述The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015.? .The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning..
出版日期Conference proceedings 2015
關(guān)鍵詞anomaly detection; big data; image representations; neural networks; unsupervised learning; cloud computi
版次1
doihttps://doi.org/10.1007/978-3-319-23989-7
isbn_softcover978-3-319-23987-3
isbn_ebook978-3-319-23989-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:05:06 | 只看該作者
Coupled Dictionary Learning with Common Label Alignment for Cross-Modal Retrieval,ta from different modalities separately and then projects them into a common space, where the correlation between these modalities is encouraged by using common label alignment. Experimental results on two public datasets demonstrate that our method outperforms several state-of-the-art methods.
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發(fā)表于 2025-3-22 00:49:24 | 只看該作者
地板
發(fā)表于 2025-3-22 07:53:21 | 只看該作者
Fast and Accurate Text Detection in Natural Scene Images, results on the ICDAR 2011 Robust Reading Competition dataset demonstrate that the performance of our much simpler method is slightly lower than the state-of-the-art performance, however, the processing speed of this algorithm is at least four times faster.
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發(fā)表于 2025-3-22 17:51:00 | 只看該作者
Fast Film Genres Classification Combining Poster and Synopsis,film is classified based on the ‘OR’ operation on the outputs of the two classifiers. We verify our scheme on our collected film poster and synopsis dataset. The experimental results demonstrate the promise of our method which achieves the desirable performance by combining posters with synopsis.
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發(fā)表于 2025-3-22 21:38:55 | 只看該作者
A Heterogeneous Image Transformation Based Synthesis Framework for Face Sketch Aging,hotos by existing HIT methods. Then existing face aging methods are employed to obtain corresponding aged pseudo-photos. Finally, aged face sketches can be synthesized from obtained aged pseudo-photos via age-related HIT methods. Experimental results demonstrate that the proposed framework achieves exciting performances.
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發(fā)表于 2025-3-23 05:34:31 | 只看該作者
Precise Image Matching: A Similarity Measure Approach,m. Sum of Square Distance (SSD) measurement function is tested and chosen as similarity function to accomplish the reviving step. Experimental results show that the proposed method exhibits improved performance compared with SIFT and other methods.
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