thesisbib.bib

@inproceedings{ZhangHW16MM,
    title = {Play and rewind: {O}ptimizing binary representations of videos by self-supervised temporal hashing},
    author = {Hanwang Zhang and Meng Wang and Richang Hong and Tat-Seng Chua},
    booktitle = {Proceedings of ACM International Conference on Multimedia},
    pages = {781--790},
    year = {2016}
}


@article{ShenFM17TMM,
    title = {Asymmetric binary coding for image search},
    author = {Fumin Shen and Yang Yang and Li Liu and Wei Liu and Dacheng Tao and Heng Tao Shen},
    journal = {IEEE Transactions on Multimedia},
    volume = {19},
    number = {9},
    pages = {2022--2032},
    year = {2017}
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@article{SongJK18PR,
    title = {Quantization-based hashing: {A} general framework for scalable image and video retrieval},
    author = {Jingkuan Song and Lianli Gao and Li Liu and Xiaofeng Zhu and Nicu Sebe},
    journal = {Pattern Recognition},
    volume = {75},
    pages = {175--187},
    year = {2018}
}

@inproceedings{ZhangPF17MM,
    title ={Semi-relaxation supervised hashing for cross-modal retrieval},
    author = {Peng-Fei Zhang and Chuan-Xiang Li and Meng-Yuan Liu and Liqiang Nie and Xin-Shun Xu},
    booktitle = {Proceedings of ACM International Conference on Multimedia},
    pages = {1762--1770},
    year = {2017}
}

@article{Andoni08Near,
    title={Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions},
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    year={2008}
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@inproceedings{hinton03stochastic,
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@inproceedings{nie12Harvesting,
    title={Harvesting visual concepts for image search with complex queries},
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    booktitle={Proceedings of ACM International Conference on Multimedia},
    pages={59-68},
    year={2012}
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@article{Tang15Neighborhood,
    title={Neighborhood discriminant hashing for large-scale image retrieval},
    author={Tang, Jinhui and Li, Zechao and Wang, Meng and Zhao, Ruizhen},
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    volume={24},
    number={9},
    pages={2827-2840},
    year={2015}
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@article{masci14multimodal,
    title={Multimodal similarity-preserving hashing},
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    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    volume={36},
    number={4},
    pages={824--830},
    year={2014}
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@inproceedings{gionis99lsh,
    title={Similarity search in high dimensions via hashing},
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    number={6},
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    year={1999}
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@inproceedings{weiss09sh,
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    year={2009}
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@inproceedings{liu2011agh,
  title={Hashing with graphs},
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  pages={1--8},
  year={2011}
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@inproceedings{zhang2010self,
  title={Self-taught hashing for fast similarity search},
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  booktitle={Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={18--25},
  year={2010}
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@inproceedings{gong11itq,
    title={Iterative quantization: {A} procrustean approach to learning binary codes},
    author={Yunchao Gong and Svetlana Lazebnik},
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    pages={817-824},
    year={2011}
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@inproceedings{liu2014discrete,
    title={Discrete graph hashing},
    author={Liu, Wei and Mu, Cun and Kumar, Sanjiv and Chang, Shih-Fu},
    booktitle={Advances in Neural Information Processing Systems},
    pages={3419--3427},
    year={2014}
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@inproceedings{jiang2015scalable,
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  author={Jiang, Qing-Yuan and Li, Wu-Jun},
  booktitle={Proceedings of International Joint Conference on Artificial Intelligence},
  pages={2248¨C-2254},
  year={2015}
}

@inproceedings{zhang2014lfh,
  title={Supervised hashing with latent factor models},
  author={Zhang, Peichao and Zhang, Wei and Li, Wu-Jun and Guo, Minyi},
  booktitle={Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={173--182},
  year={2014}
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@inproceedings{lin2013tsh,
  title={A general two-step approach to learning-based hashing},
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  year={2013}
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@article{Christoph12ldahash,
    title={LDAHash: {I}mproved matching with smaller descriptors},
    author={Strecha, Christoph and Bronstein, Alex and Bronstein, Michael and Fua, Pascal},
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    volume={44},
    number={1},
    pages={66--78},
    year={2012}
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@inproceedings{kulis09bre,
    title={Learning to hash with binary reconstructive embeddings},
    author={Kulis, Brian and Darrell, Trevor},
    booktitle={Advances in Neural Information Processing Systems},
    pages={1042--1050},
    year={2009}
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@inproceedings{liu12ksh,
    title={Supervised hashing with kernels},
    author={Liu, Wei and Wang, Jun and Ji, Rongrong and Jiang, Yu-Gang and Chang, Shih-Fu},
    booktitle={Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition},
    pages={2074--2081},
    year={2012}
}

@inproceedings{lin14fasthash,
    title={Fast supervised hashing with decision trees for high-dimensional data},
    author={Lin, Guosheng and Shen, Chunhua and Shi, Qinfeng and van den Hengel, Anton and Suter, David},
    booktitle={Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition},
    pages={1963--1970},
    year={2014}
}

@inproceedings{shen15sdh,
    title={Supervised discrete hashing},
    author={Shen, Fumin and Shen, Chunhua and Liu, Wei and Shen, Heng Tao},
    booktitle={Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition},
    pages={37--45},
    year={2015}
}

@inproceedings{kang16cosdish,
    author = {Kang, Wang-Cheng and Li, Wu-Jun and Zhou, Zhi-Hua},
    title = {Column sampling based discrete supervised hashing},
    booktitle = {Proceedings of AAAI Conference on Artificial Intelligence},
    pages = {1230--1236},
    year = {2016}
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@inproceedings{xia14cnnh,
    title={Supervised hashing for image retrieval via image representation learning},
    author={Xia, Rongkai and Pan, Yan and Lai, Hanjiang and Liu, Cong and Yan, Shuicheng},
    booktitle={Proceedings of AAAI Conference on Artificial Intelligence},
    pages={2156--2162},
    year={2014}
}

@inproceedings{li2015dpsh,
  title={Feature learning based deep supervised hashing with pairwise labels},
  author={Li, Wu-Jun and Wang, Sheng and Kang, Wang-Cheng},
  booktitle={Proceedings of International Joint Conference on Artificial Intelligence},
  pages={1711--1717},
  year={2016}
}

@inproceedings{bronstein10cmssh,
    title={Data fusion through cross-modality metric learning using similarity-sensitive hashing},
    author={Bronstein, Michael M and Bronstein, Alexander M and Michel, Fabrice and Paragios, Nikos},
    booktitle={Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition},
    pages={3594--3601},
    year={2010}
}

@inproceedings{kumar11cvh,
    title={Learning hash functions for cross-view similarity search},
    author={Kumar, Shaishav and Udupa, Raghavendra},
    booktitle={Proceedings of International Joint Conference on Artificial Intelligence},
    pages={1360--1365},
    year={2011}
}

@inproceedings{zhen2012crh,
  title={Co-regularized hashing for multimodal data},
  author={Zhen, Yi and Yeung, Dit-Yan},
  booktitle={Advances in Neural Information Processing Systems},
  pages={1376--1384},
  year={2012}
}

@inproceedings{zhu13lcmh,
    title={Linear cross-modal hashing for efficient multimedia search},
    author={Zhu, Xiaofeng and Huang, Zi and Shen, Heng Tao and Zhao, Xin},
    booktitle={Proceedings of ACM International Conference on Multimedia},
    pages={143--152},
    year={2013}
}

@inproceedings{song13imh,
  title={Inter-media hashing for large-scale retrieval from heterogeneous data sources},
  author={Song, Jingkuan and Yang, Yang and Yang, Yi and Huang, Zi and Shen, Heng Tao},
  booktitle={Proceedings of ACM International Conference on Management of Data},
  pages={785--796},
  year={2013}
}

@inproceedings{zhang14scm,
  title={Large-scale supervised multimodal hashing with semantic correlation maximization.},
  author={Zhang, Dongqing and Li, Wu-Jun},
  booktitle={Proceedings of AAAI Conference on Artificial Intelligence},
  pages={2177--2183},
  year={2014}
}

@inproceedings{zhouJ14LSSH,
    title = {Latent semantic sparse hashing for cross-modal similarity search},
    author = {Zhou, Jile and Ding, Guiguang and Guo, Yuchen},
    booktitle = {Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval},
    pages = {415--424},
    year = {2014}
}

@inproceedings{ding14cmfh,
    title={Collective matrix factorization hashing for multimodal data},
    author={Ding, Guiguang and Guo, Yuchen and Zhou, Jile},
    booktitle={Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition},
    pages={2075--2082},
    year={2014}
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@inproceedings{lin15seph,
    title={Semantics-preserving hashing for cross-view retrieval},
    author={Lin, Zijia and Ding, Guiguang and Hu, Mingqing and Wang, Jianmin},
    booktitle={Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition},
    pages={3864--3872},
    year={2015}
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@inproceedings{long16ccq,
    title={Composite correlation quantization for efficient multimodal retrieval},
    author={Long, Mingsheng and Cao, Yue and Wang, Jianmin and Yu, Philip S},
    booktitle={Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval},
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    year={2016}
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@inproceedings{Liu16smfh,
    title={Supervised matrix factorization for cross-modality hashing},
    author={Liu, Hong and Ji, Rongrong and Wu, Yongjian and Hua, Gang},
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    year={2016}
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@article{xu17dch,
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@inproceedings{rasiwasia10wiki,
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@inproceedings{huiskes08mir,
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@inproceedings{chua09nus,
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@inproceedings{liu17fsh,
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@inproceedings{hu17bsh,
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@inproceedings{wu15qch,
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@inproceedings{he13kmeanshash,
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@inproceedings{zhen12probabilistic,
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@inproceedings{wang10semi,
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@article{ding2016scmfh,
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@inproceedings{wang2017acmr,
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@inproceedings{jiang2017dcmh,
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@inproceedings{cao2016dvsh,
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@inproceedings{ken14cnnf,
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@inproceedings{yang2016zero,
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    year={2016}
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@article{wang2015facilitating,
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@article{liu2016query,
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    number={2},
    pages={907--919},
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@inproceedings{wang2016linear,
    title={Linear distance preserving pseudo-supervised and unsupervised hashing},
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    booktitle={Proceedings of ACM International Conference on Multimedia},
    pages={1257--1266},
    year={2016}
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@article{Chen2017Predicting,
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    journal={IEEE Transactions on Multimedia},
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@article{wang2018survey,
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@inproceedings{luo2018sdmch,
  title={{SDMCH}: {S}upervised discrete manifold-embedded cross-modal hashing},
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  booktitle={Proceedings of International Joint Conference on Artificial Intelligence},
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@inproceedings{luo2018fast,
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  booktitle={Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval},
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  year={2018}
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@inproceedings{luo2018scalable,
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  year={2018}
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@inproceedings{chen2018ddcmh,
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