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Label information is widely used in hashing methods because of its effectiveness of improving the precision.
“Approximate nearest neighbors: towards removing the curse of dimensionality,”
Piotr Indyk and Rajeev Motwani, · 1998
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“Convergence of a block coordinate descent method for nondifferentiable minimization,”
P. Tseng, · 2001
Earlier work this paper cites.
“Stability and generalization,”
O. Bousquet and A. Elisseeff, · 2002
Earlier work this paper cites.
Matrix computations =
Golub, Geneh. Vanloan, and CharlesF, · 2009
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“Learning multiple layers of features from tiny images,”
Alex Krizhevsky and Geoffrey Hinton, · 2009
Earlier work this paper cites.
“Nus-wide: a real-world web image database from national university of singapore,”
Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie Li, Zhiping Luo, and Yantao Zheng, · 2009
Earlier work this paper cites.
“Spectral hashing,”
Yair Weiss, Antonio Torralba, and Rob Fergus, · 2009
Earlier work this paper cites.
“Iterative quantization: A procrustean approach to learning binary codes,”
Yunchao Gong and S Lazebnik, · 2011
Earlier work this paper cites.
“Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval,”
Yunchao Gong, Svetlana Lazebnik, Albert Gordo, and Florent Perronnin, · 2013
Cited alongside, same era.
Set theory
Thomas Jech, · 2013
Cited alongside, same era.
“Microsoft coco: Common objects in context,”
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick, · 2014
Cited alongside, same era.
“Return of the devil in the details: Delving deep into convolutional nets,”
Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman, · 2014
Cited alongside, same era.
“Supervised discrete hashing,”
Fumin Shen, Chunhua Shen, Wei Liu, and Heng Tao Shen, · 2015
Cited alongside, same era.
“Hamming compatible quantization for hashing,”
Zhe Wang, Ling Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, and Wen Gao, · 2015
“Column sampling based discrete supervised hashing.,”
Wang-Cheng Kang, Wu-Jun Li, and Zhi-Hua Zhou, · 2016
Later among the works it cites.
“Deep hashing network for efficient similarity retrieval,”
Han Zhu, Mingsheng Long, Jianmin Wang, and Yue Cao, · 2016
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“Deep asymmetric pairwise hashing,”
Fumin Shen, Xin Gao, Li Liu, Yang Yang, and Heng Tao Shen, · 2017
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“A survey on learning to hash,”
Jingdong Wang, Ting Zhang, Nicu Sebe, Heng Tao Shen, et al., · 2018
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“Fast supervised discrete hashing,”
Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao, and Tieniu Tan, · 2018
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“Deep supervised hashing for fast image retrieval,”
Haomiao Liu, Ruiping Wang, Shiguang Shan, and Xilin Chen, · 2072
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Cited alongside, same era.
“A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion,”
Yangyang Xu and Wotao Yin, · 2015
Cited alongside, same era.
“Supervised discrete hashing with relaxation,”
Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao, and Tieniu Tan, · 2016
Cited alongside, same era.
“Collective matrix factorization hashing for multimodal data,”
Guiguang Ding, Yuchen Guo, and Jile Zhou, · 2090
Closest in time.