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Online Learning a Binary Classifier for Improving Google Image Search Results 被引量：1

Online Learning a Binary Classifier for Improving Google Image Search Results
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作者 WAN Yu-Chai LIU Xia-Bi HAN Fei-Fei TONG Kun-Qi LIU Yu
机构地区 Beijing Laboratory of Intelligent Information Technology
出处 《自动化学报》 EI CSCD 北大核心 2014年第8期1699-1708,共10页 Acta Automatica Sinica
基金 National Natural Science Foundation of China，Program for New Century Excellent Tal-ents in University of China
关键词 搜索结果 在线学习 二元分类 贝叶斯分类器 算法框架 训练数据 图片 支持向量机 Image search engine, content-based image retrieval （CBIR）, search results improvement, image classifier learning,training data selection
分类号 TP393.4 [自动化与计算机技术—计算机应用技术] G434 [文化科学—教育技术学]
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参考文献34

  • 1Torralba A, Fergus R, Freeman W T. 80 million tiny images: a large dataset for nonparametric object and scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(11): 1958-1970.
  • 2Fergus R, Perona P, Zisserman A. A visual category filter for Google images. In: Proceedings of the 8th European Conference on Computer Vision. Heidelberg, Berlin: Springer, 2004. 242-256.
  • 3Fergus R, Li F F, Perona R, Zisserman A. Learning object categories from Google's image search. In: Proceedings of the 10th International Conference on Computer Vision. Beijing, China: IEEE, 2005. 1816-1823.
  • 4Li L J, Li F F. OPTIMOL: automatic online picture collection via incremental model learning. International Journal of Computer Vision, 2010, 88(2): 147-168.
  • 5Le D D, Satoh S. Unsupervised face annotation by mining the Web. In: Proceedings of the 8th IEEE International Conference on Data Mining. Pisa: IEEE, 2008. 383-392.
  • 6Hoi C H, Lyu M R. Web image learning for searching semantic concepts in image databases. In: Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers and Posters. New York, USA: ACM, 2004. 406-407.
  • 7Pereira R, Lopes L S, Silva A. Semantic image search and subset selection for classifier training in object recognition. In: Proceedings of the 14th Portuguese Conference on Artificial Intelligence. Heidelberg, Berlin: Springer, 2009. 338-349.
  • 8Li H J, Tang J H, Li G D, Chua T S. Word2Image: towards visual interpreting of words. In: Proceedings of the 16th International Conference on Multimedia. New York, USA: ACM, 2008. 813-816.
  • 9Berg T L, Forsyth D A. Animals on the web. In: Proceedings of the 2006 IEEE International Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE, 2006. 1463-1470.
  • 10Morsillo N, Pal C, Nelson R. Semi-supervised learning of visual classifiers from web images and text. In: Proceedings of the 2009 International Joint Conference on Artificial Intelligence. Amsterdam, Netherlands: Elsevier, 2009. 1169-1174.

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自动化学报
2014年 第8期

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