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Hashing produces compact representations for documents, to perform tasks like classification or retrieval based on these short codes.
“The probability ranking principle in ir,”
Stephen E Robertson, · 1977
Earlier work this paper cites.
“Learning to hash with binary reconstructive embeddings,”
Brian Kulis and Trevor Darrell, · 2009
Earlier work this paper cites.
“Semantic hashing,”
Ruslan Salakhutdinov and Geoffrey Hinton, · 2009
Earlier work this paper cites.
“Learning to detect unseen object classes by between-class attribute transfer,”
C. H. Lampert, H. Nickisch, and S. Harmeling, · 2009
Earlier work this paper cites.
“Learning multiple layers of features from tiny images,”
Alex Krizhevsky, · 2009
Earlier work this paper cites.
“Imagenet: A large-scale hierarchical image database,”
Wei Dong, Richard Socher, Li Li-Jia, Kai Li, and Li Fei-Fei, · 2009
Earlier work this paper cites.
“Semi-supervised hashing for scalable image retrieval,”
Jun Wang, Sanjiv Kumar, and Shih-Fu Chang, · 2010
Earlier work this paper cites.
“Efficient object category recognition using classemes,”
Andrew Fitzgibbon Lorenzo Torresani, Martin Szummer, · 2010
Earlier work this paper cites.
“Minimal loss hashing for compact binary codes.,”
Mohammad Norouzi and David J. Fleet, · 2011
Earlier work this paper cites.
“Unbiased look at dataset bias,”
A. Torralba and A. A. Efros, · 2011
Earlier work this paper cites.
“Product quantization for nearest neighbor search,”
Hervé Jegou, Matthijs Douze, and Cordelia Schmid, · 2011
Cited alongside, same era.
“Hamming distance metric learning,”
Mohammad Norouzi, David J Fleet, and Ruslan R Salakhutdinov, · 2012
Cited alongside, same era.
“Supervised hashing with kernels.,”
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, and Shih-Fu Chang, · 2012
Cited alongside, same era.
“Anti-sparse coding for approximate nearest neighbor search,”
Hervé Jegou, Teddy Furon, and Jean-Jacques Fuchs, · 2012
Cited alongside, same era.
“Metric learning for large scale image classification: Generalizing to new classes at near-zero cost,”
Thomas Mensink, Jakob Verbeek, Florent Perronnin, and Gabriela Csurka, · 2012
Cited alongside, same era.
“Imagenet classification with deep convolutional neural networks,”
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton, · 2012
“Very deep convolutional networks for large-scale image recognition,”
K. Simonyan and A. Zisserman, · 2014
Later among the works it cites.
“Neural codes for image retrieval,”
Artem Babenko, Anton Slesarev, Alexandr Chigorin, and Victor Lempitsky, · 2014
Later among the works it cites.
“How transferable are features in deep neural networks?,”
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson, · 2014
Later among the works it cites.
“Deep semantic ranking based hashing for multi-label image retrieval,”
Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan, · 2015
Later among the works it cites.
“Supervised discrete hashing,”
Fumin Shen, Chunhua Shen, Wei Liu, and Heng Tao Shen, · 2015
Later among the works it cites.
“Supervised quantization for similarity search,”
Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang, · 2016
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Cited alongside, same era.
“Learning hash codes with listwise supervision,”
Jun Wang, Wei Liu, Andy X. Sun, and Yu-Gang Jiang, · 2013
Cited alongside, same era.
“Order preserving hashing for approximate nearest neighbor search,”
Jianfeng Wang, Jingdong Wang, Nenghai Yu, and Shipeng Li, · 2013
Cited alongside, same era.
“Fast supervised hashing with decision trees for high-dimensional data,”
Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter, · 2014
Cited alongside, same era.
“Supervised hashing for image retrieval via image representation learning,”
Rongkai Xia, Yan Pan, Hanjiang Lai, Cong Liu, and Shuicheng Yan, · 2014
Cited alongside, same era.
Closest in time.
“Learning to hash with binary deep neural network,”
Thanh-Toan Do, Anh-Zung Doan, and Ngai-Man Cheung, · 2016
Closest in time.
“Efficient training of very deep neural networks for supervised hashing,”
Ziming Zhang, Yuting Chen, and Venkatesh Saligrama, · 2016
Closest in time.
“Binary hashing with semidefinite relaxation and augmented lagrangian,”
Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, and Ngai-Man Cheung, · 2016
Closest in time.
“Deep supervised hashing for fast image retrieval,”
Haomiao Liu, Ruiping Wang, Shiguang Shan, and Xilin Chen, · 2016
Closest in time.