Deep Multi-label Hashing for Large-Scale Visual Search Based on Semantic Graph
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[1] Wu-Jun Li,et al. Feature Learning Based Deep Supervised Hashing with Pairwise Labels , 2015, IJCAI.
[2] Beng Chin Ooi,et al. DSH: data sensitive hashing for high-dimensional k-nnsearch , 2014, SIGMOD Conference.
[3] David J. Fleet,et al. Fast search in Hamming space with multi-index hashing , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[5] Ivan Laptev,et al. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[6] David J. Fleet,et al. Minimal Loss Hashing for Compact Binary Codes , 2011, ICML.
[7] Hanjiang Lai,et al. Simultaneous feature learning and hash coding with deep neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Tieniu Tan,et al. Deep semantic ranking based hashing for multi-label image retrieval , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Svetlana Lazebnik,et al. Iterative quantization: A procrustean approach to learning binary codes , 2011, CVPR 2011.
[10] David J. Fleet,et al. Hamming Distance Metric Learning , 2012, NIPS.
[11] Victor S. Lempitsky,et al. Neural Codes for Image Retrieval , 2014, ECCV.
[12] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[13] Shih-Fu Chang,et al. Semi-supervised hashing for scalable image retrieval , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[14] Minyi Guo,et al. Supervised hashing with latent factor models , 2014, SIGIR.
[15] Ji Wan,et al. Deep Learning for Content-Based Image Retrieval: A Comprehensive Study , 2014, ACM Multimedia.
[16] Anthony K. H. Tung,et al. LazyLSH: Approximate Nearest Neighbor Search for Multiple Distance Functions with a Single Index , 2016, SIGMOD Conference.
[17] Rongrong Ji,et al. Supervised hashing with kernels , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Jiwen Lu,et al. Deep hashing for compact binary codes learning , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Bart Thomee,et al. New trends and ideas in visual concept detection: the MIR flickr retrieval evaluation initiative , 2010, MIR '10.
[20] Antonio Torralba,et al. Spectral Hashing , 2008, NIPS.
[21] Wei Liu,et al. Supervised Discrete Hashing , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] David Suter,et al. Fast Supervised Hashing with Decision Trees for High-Dimensional Data , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[24] Jen-Hao Hsiao,et al. Deep learning of binary hash codes for fast image retrieval , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[25] Yang Song,et al. Learning Fine-Grained Image Similarity with Deep Ranking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Piotr Indyk,et al. Similarity Search in High Dimensions via Hashing , 1999, VLDB.
[27] Hanjiang Lai,et al. Supervised Hashing for Image Retrieval via Image Representation Learning , 2014, AAAI.
[28] Michael J. Pazzani,et al. Content-Based Recommendation Systems , 2007, The Adaptive Web.
[29] Wei Liu,et al. Hashing with Graphs , 2011, ICML.
[30] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Jian Sun,et al. K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).