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In recent years, a lot of attention has been devoted to efficient nearest neighbor search by means of similarity-preserving hashing.
80 million tiny images: A large data set for nonparametric object and scene recognition
Torralba, A., Fergus, R., and Freeman, W. T · 1970
Earlier work this paper cites.
Une procédure d’apprentissage pour réseau à seuil asymétrique
LeCun, Y · 1985
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Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
Goemans, M. and Williamson, D · 1995
Earlier work this paper cites.
Kernel principal component analysis
Schoelkopf, B., Smola, A., and Mueller, K. R · 1997
Earlier work this paper cites.
Similarity search in high dimensions via hashing
Gionis, A., Indyk, P., and Motwani, R · 1999
Earlier work this paper cites.
Fisher discriminant analysis with kernels
Mika, S. et al · 1999
Earlier work this paper cites.
Nonlinear dimensionality reduction by locally linear embedding
Roweis, S. T. and Saul, L. K · 2000
Earlier work this paper cites.
Applied multivariate statistical analysis , volume 4
Johnson, R. A. and Wichern, D. W · 2002
Earlier work this paper cites.
Distance metric learning with application to clustering with side-information
Xing, E. P. et al · 2002
Earlier work this paper cites.
Laplacian eigenmaps for dimensionality reduction and data representation
Belkin, M. and Niyogi, P · 2003
Earlier work this paper cites.
Fast pose estimation with parameter-sensitive hashing
Shakhnarovich, G., Viola, P., and Darrell, T · 2003
Earlier work this paper cites.
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
Daubechies, I., Defrise, M., and De Mol, C · 2004
Earlier work this paper cites.
Diffusion maps
Coifman, R. R. and Lafon, S · 2006
Earlier work this paper cites.
Dimensionality reduction by learning an invariant mapping
Hadsell, R., Chopra, S., and LeCun, Y · 2006
Cited alongside, same era.
Information-theoretic metric learning
Davis et al · 2007
Cited alongside, same era.
Spectral hashing
Weiss, Y., Torralba, A., and Fergus, R · 2008
Cited alongside, same era.
NUS-WIDE: A real-world web image database from national university of Singapore
Chua, T.-S. et al · 2009
Cited alongside, same era.
Learning multiple layers of features from tiny images
Krizhevsky, Alex · 2009
Cited alongside, same era.
Learning to hash with binary reconstructive embeddings
Kulis, B. and Darrell, T · 2009
Cited alongside, same era.
Partial order embedding with multiple kernels
Coherency sensitive hashing
Korman, S. and Avidan, S · 2011
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Hashing with graphs
Liu, W. et al · 2011
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Descriptor learning for omnidirectional image matching
Masci, J. et al · 2011
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Minimal loss hashing for compact binary codes
Norouzi, M. and Fleet, D · 2011
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Learning invariance through imitation
Taylor, G. W. et al · 2011
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The power of comparative reasoning
Yagnik, J. et al · 2011
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Angular quantization-based binary codes for fast similarity search
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McFee, B. and Lanckriet, G. R. G · 2009
Cited alongside, same era.
Positive semidefinite metric learning with boosting
Shen, C. et al · 2009
Cited alongside, same era.
Distance metric learning for large margin nearest neighbor classification
Weinberger, K. Q. and Saul, L. K · 2009
Cited alongside, same era.
Data fusion through cross-modality metric learning using similarity-sensitive hashing
Bronstein, M. M. et al · 2010
Cited alongside, same era.
Learning fast approximations of sparse coding
Gregor, K. and LeCun, Y · 2010
Cited alongside, same era.
Sequential projection learning for hashing with compact codes
Wang, J., Kumar, S., and Chang, S.-F · 2010
Cited alongside, same era.
Gong, Y. et al · 2012
Later among the works it cites.
Supervised hashing with kernels
Liu, Wei et al · 2012
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Hamming distance metric learning
Norouzi, M., Fleet, D., and Salakhutdinov, R · 2012
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Learning efficient sparse and low rank models
Sprechmann, P., Bronstein, A. M., and Sapiro, G · 2012
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LDAHash: Improved matching with smaller descriptors
Strecha, C. et al · 2012
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Learning binary hash codes for large-scale image search
Grauman, K. and Fergus, R · 2013
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