Learning Regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval
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Jian Sun | Zhanghui Kuang | Kwan-Yee Kenneth Wong | Kwan-Yee Kenneth Wong | Jian Sun | Zhanghui Kuang
[1] Cordelia Schmid,et al. Product Quantization for Nearest Neighbor Search , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Alexei A. Efros,et al. Data-driven visual similarity for cross-domain image matching , 2011, ACM Trans. Graph..
[3] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[4] Sanjoy Dasgupta,et al. Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? , 2009, UAI.
[5] Jun Zhang,et al. Local aggregation function learning based on support vector machines , 2009, Signal Process..
[6] D. J. H. Garling,et al. The Cauchy-Schwarz Master Class: An Introduction to the Art of Mathematical Inequalities by J. Michael Steele , 2005, Am. Math. Mon..
[7] Xiaoou Tang,et al. Real time google and live image search re-ranking , 2008, ACM Multimedia.
[8] Andrew Zisserman,et al. Three things everyone should know to improve object retrieval , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[10] David Nistér,et al. Scalable Recognition with a Vocabulary Tree , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[11] J. Platt. Sequential Minimal Optimization : A Fast Algorithm for Training Support Vector Machines , 1998 .
[12] Laurent Amsaleg,et al. Locality sensitive hashing: A comparison of hash function types and querying mechanisms , 2010, Pattern Recognit. Lett..
[13] Stephen J. Wright,et al. Object-oriented software for quadratic programming , 2003, TOMS.
[14] Tao Qin,et al. Ranking with query-dependent loss for web search , 2010, WSDM '10.
[15] Samy Bengio,et al. Large Scale Online Learning of Image Similarity through Ranking , 2009, IbPRIA.
[16] Richard I. Hartley,et al. Optimised KD-trees for fast image descriptor matching , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[18] Xian-Sheng Hua,et al. Ranking Model Adaptation for Domain-Specific Search , 2012, IEEE Trans. Knowl. Data Eng..
[19] Xuelong Li,et al. Negative Samples Analysis in Relevance Feedback , 2007, IEEE Transactions on Knowledge and Data Engineering.
[20] Svetlana Lazebnik,et al. Iterative quantization: A procrustean approach to learning binary codes , 2011, CVPR 2011.
[21] Andrew Zisserman,et al. Smooth object retrieval using a bag of boundaries , 2011, 2011 International Conference on Computer Vision.
[22] Antonio Torralba,et al. Spectral Hashing , 2008, NIPS.
[23] Koby Crammer,et al. Adaptive Regularization for Similarity Measures , 2012, ICML.
[24] R. Vanderbei. LOQO:an interior point code for quadratic programming , 1999 .
[25] Andrew Zisserman,et al. Representing shape with a spatial pyramid kernel , 2007, CIVR '07.
[26] Thorsten Joachims,et al. Making large-scale support vector machine learning practical , 1999 .
[27] Harry Shum,et al. Query Dependent Ranking Using K-nearest Neighbor * , 2022 .
[28] Vidit Jain,et al. Learning to re-rank: query-dependent image re-ranking using click data , 2011, WWW.
[29] Rohini K. Srihari,et al. Spatial color histograms for content-based image retrieval , 1999, Proceedings 11th International Conference on Tools with Artificial Intelligence.
[30] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[31] Nicole Immorlica,et al. Locality-sensitive hashing scheme based on p-stable distributions , 2004, SCG '04.
[32] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .