Li, Y.N.[Yue Nan],
Luo, H.[Hao],
Approximate Nearest Neighbor Based Feature Quantization Algorithm for
Robust Hashing,
IEICE(E95-D), No. 12, December 2012, pp. 3109-3112.
WWW Link.
1212
BibRef
Li, Y.N.[Yue Nan],
Robust Content Fingerprinting Algorithm Based on Sparse Coding,
SPLetters(22), No. 9, September 2015, pp. 1254-1258.
IEEE DOI
1503
image coding
BibRef
Cheng, J.[Jian],
Leng, C.[Cong],
Li, P.[Peng],
Wang, M.[Meng],
Lu, H.Q.[Han-Qing],
Semi-supervised multi-graph hashing for scalable similarity search,
CVIU(124), No. 1, 2014, pp. 12-21.
Elsevier DOI
1406
Hashing
BibRef
Yu, J.[Jun],
Hong, R.[Richang],
Wang, M.[Meng],
You, J.[Jane],
Image clustering based on sparse patch alignment framework,
PR(47), No. 11, 2014, pp. 3512-3519.
Elsevier DOI
1407
Image clustering
BibRef
Xin, X.[Xin],
Nagar, A.[Abhishek],
Srivastava, G.[Gaurav],
Li, Z.[Zhu],
Fernandes, F.[Felix],
Katsaggelos, A.K.[Aggelos K.],
Large Visual Repository Search with Hash Collision Design Optimization,
MultMedMag(20), No. 2, 2013, pp. 62-71.
IEEE DOI
1307
Augmented reality; hash-code collision; indexing;
mobile search
BibRef
Liu, X.L.[Xiang-Long],
He, J.F.[Jun-Feng],
Lang, B.[Bo],
Multiple feature kernel hashing for large-scale visual search,
PR(47), No. 2, 2014, pp. 748-757.
Elsevier DOI
1311
Locality-sensitive hashing
BibRef
Zhou, W.G.[Wen-Gang],
Yang, M.[Ming],
Li, H.Q.[Hou-Qiang],
Wang, X.Y.[Xiao-Yu],
Lin, Y.Q.[Yuan-Qing],
Tian, Q.[Qi],
Towards Codebook-Free:
Scalable Cascaded Hashing for Mobile Image Search,
MultMed(16), No. 3, April 2014, pp. 601-611.
IEEE DOI
1405
feature extraction
BibRef
Zhou, W.G.[Wen-Gang],
Yang, M.[Ming],
Wang, X.Y.[Xiao-Yu],
Li, H.Q.[Hou-Qiang],
Lin, Y.Q.[Yuan-Qing],
Tian, Q.[Qi],
Scalable Feature Matching by Dual Cascaded Scalar Quantization for
Image Retrieval,
PAMI(38), No. 1, January 2016, pp. 159-171.
IEEE DOI
1601
Feature extraction
BibRef
Lv, Y.[Yue],
Zhou, W.G.[Wen-Gang],
Tian, Q.[Qi],
Sun, S.,
Li, H.Q.[Hou-Qiang],
Retrieval Oriented Deep Feature Learning With Complementary
Supervision Mining,
IP(27), No. 10, October 2018, pp. 4945-4957.
IEEE DOI
1808
BibRef
Earlier: A1, A2, A3, A5, Only:
Scalable Bag of Selected Deep Features for Visual Instance Retrieval,
MMMod18(II:239-251).
Springer DOI
1802
computer vision, feature extraction, feedforward neural nets,
image classification, image retrieval,
feature fusion
BibRef
Liu, Z.[Zhen],
Li, H.Q.[Hou-Qiang],
Zhou, W.G.[Wen-Gang],
Zhao, R.Z.[Rui-Zhen],
Tian, Q.[Qi],
Contextual Hashing for Large-Scale Image Search,
IP(23), No. 4, April 2014, pp. 1606-1614.
IEEE DOI
1404
Internet
BibRef
Zhou, W.G.[Wen-Gang],
Li, H.Q.[Hou-Qiang],
Hong, R.,
Lu, Y.,
Tian, Q.[Qi],
BSIFT: Toward Data-Independent Codebook for Large Scale Image Search,
IP(24), No. 3, March 2015, pp. 967-979.
IEEE DOI
1502
Feature extraction
BibRef
Zhou, W.G.[Wen-Gang],
Li, H.Q.[Hou-Qiang],
Sun, J.[Jian],
Tian, Q.[Qi],
Collaborative Index Embedding for Image Retrieval,
PAMI(40), No. 5, May 2018, pp. 1154-1166.
IEEE DOI
1804
Feature extraction, Image retrieval, Indexing, Neural networks,
Visualization, CNN feature, Image retrieval, SIFT, index embedding,
inverted index
BibRef
Liu, Z.[Zhen],
Li, H.Q.[Hou-Qiang],
Zhang, L.Y.[Li-Yan],
Zhou, W.G.[Wen-Gang],
Tian, Q.[Qi],
Cross-Indexing of Binary SIFT Codes for Large-Scale Image Search,
IP(23), No. 5, May 2014, pp. 2047-2057.
IEEE DOI
1405
binary codes
BibRef
Xie, L.X.[Ling-Xi],
Tian, Q.[Qi],
Zhou, W.G.[Wen-Gang],
Zhang, B.[Bo],
Heterogeneous Graph Propagation for Large-Scale Web Image Search,
IP(24), No. 11, November 2015, pp. 4287-4298.
IEEE DOI
1509
image retrieval
See also Fast and accurate near-duplicate image search with affinity propagation on the ImageWeb. See also Spatial Pooling of Heterogeneous Features for Image Classification.
BibRef
Wang, M.[Min],
Zhou, W.G.[Wen-Gang],
Tian, Q.[Qi],
Li, H.Q.[Hou-Qiang],
A General Framework for Linear Distance Preserving Hashing,
IP(27), No. 2, February 2018, pp. 907-922.
IEEE DOI
1712
Binary codes, Euclidean distance, Hamming distance,
Neural networks, Quantization (signal), Semantics, Training data,
pseudo-supervised hashing
BibRef
Luo, Q.J.[Qing-Jun],
Zhang, S.L.[Shi-Liang],
Huang, T.J.[Tie-Jun],
Gao, W.[Wen],
Tian, Q.[Qi],
Hybrid-Indexing Multi-type Features for Large-Scale Image Search,
ACCV14(I: 446-460).
Springer DOI
1504
BibRef
Liu, Z.[Zhen],
Li, H.Q.[Hou-Qiang],
Zhou, W.G.[Wen-Gang],
Hong, R.,
Tian, Q.[Qi],
Uniting Keypoints: Local Visual Information Fusion for Large-Scale
Image Search,
MultMed(17), No. 4, April 2015, pp. 538-548.
IEEE DOI
1503
Feature extraction
BibRef
Tang, J.H.[Jin-Hui],
Li, Z.C.[Ze-Chao],
Wang, M.,
Zhao, R.,
Neighborhood Discriminant Hashing for Large-Scale Image Retrieval,
IP(24), No. 9, September 2015, pp. 2827-2840.
IEEE DOI
1506
Binary codes
BibRef
Li, Z.C.[Ze-Chao],
Tang, J.H.[Jin-Hui],
Weakly Supervised Deep Metric Learning for Community-Contributed
Image Retrieval,
MultMed(17), No. 11, November 2015, pp. 1989-1999.
IEEE DOI
1511
Data structures
BibRef
Lv, Y.,
Ng, W.W.Y.,
Zeng, Z.,
Yeung, D.S.,
Chan, P.P.K.,
Asymmetric Cyclical Hashing for Large Scale Image Retrieval,
MultMed(17), No. 8, August 2015, pp. 1225-1235.
IEEE DOI
1506
Euclidean distance
BibRef
Gallas, A.,
Barhoumi, W.,
Kacem, N.,
Zagrouba, E.,
Locality-sensitive hashing for region-based large-scale image
indexing,
IET-IPR(9), No. 9, 2015, pp. 804-810.
DOI Link
1509
file organisation
BibRef
Guo, Y.C.[Yu-Chen],
Ding, G.G.[Gui-Guang],
Liu, L.[Li],
Han, J.G.[Jun-Gong],
Shao, L.[Ling],
Learning to Hash With Optimized Anchor Embedding for Scalable
Retrieval,
IP(26), No. 3, March 2017, pp. 1344-1354.
IEEE DOI
1703
image representation
BibRef
Guo, Y.C.[Yu-Chen],
Ding, G.G.[Gui-Guang],
Han, J.,
Gao, Y.,
Zero-Shot Learning With Transferred Samples,
IP(26), No. 7, July 2017, pp. 3277-3290.
IEEE DOI
1706
Labeling, Robustness, Standards, Supervised learning,
Support vector machines, Target recognition, Training,
Zero-shot learning, experiment, inductive learning,
robust support vector machine (SVM), transductive learning,
transfer learning.
BibRef
Liu, L.[Li],
Lin, Z.J.[Zi-Jia],
Shao, L.[Ling],
Shen, F.M.[Fu-Min],
Ding, G.G.[Gui-Guang],
Han, J.G.[Jun-Gong],
Sequential Discrete Hashing for Scalable Cross-Modality Similarity
Retrieval,
IP(26), No. 1, January 2017, pp. 107-118.
IEEE DOI
1612
Internet
BibRef
Liu, L.[Li],
Yu, M.Y.[Meng-Yang],
Shao, L.[Ling],
Multiview Alignment Hashing for Efficient Image Search,
IP(24), No. 3, March 2015, pp. 956-966.
IEEE DOI
1502
Binary codes
See also Structure-Preserving Binary Representations for RGB-D Action Recognition.
BibRef
Liu, L.[Li],
Yu, M.Y.[Meng-Yang],
Shao, L.[Ling],
Unsupervised Local Feature Hashing for Image Similarity Search,
Cyber(46), No. 11, November 2016, pp. 2548-2558.
IEEE DOI
1609
feature extraction
See also Structure-Preserving Binary Representations for RGB-D Action Recognition.
BibRef
Liu, L.[Li],
Shao, L.[Ling],
Shen, F.,
Yu, M.Y.[Meng-Yang],
Discretely Coding Semantic Rank Orders for Supervised Image Hashing,
CVPR17(5140-5149)
IEEE DOI
1711
Binary codes, Correlation, Encoding, Optimization, Semantics, Training, data
BibRef
Cai, Z.Y.[Zi-Yun],
Liu, L.[Li],
Yu, M.Y.[Meng-Yang],
Shao, L.[Ling],
Latent Structure Preserving Hashing,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Liu, L.[Li],
Yu, M.Y.[Meng-Yang],
Shao, L.[Ling],
Latent Structure Preserving Hashing,
IJCV(122), No. 3, May 2017, pp. 439-457.
Springer DOI
1704
BibRef
Chen, Z.X.[Zhi-Xiang],
Lu, J.W.[Ji-Wen],
Feng, J.J.[Jian-Jiang],
Zhou, J.[Jie],
Nonlinear Discrete Hashing,
MultMed(19), No. 1, January 2017, pp. 123-135.
IEEE DOI
1612
Binary codes
Multilayer search.
BibRef
Chen, Z.X.[Zhi-Xiang],
Lu, J.W.[Ji-Wen],
Feng, J.J.[Jian-Jiang],
Zhou, J.[Jie],
Nonlinear Sparse Hashing,
MultMed(19), No. 9, September 2017, pp. 1996-2009.
IEEE DOI
1708
Binary codes, Encoding, Neural networks, Quantization (signal),
Semantics, Sparse matrices, Training, Hashing, informative encoding,
nonlinear transformation, sparse
BibRef
Chen, Z.X.[Zhi-Xiang],
Lu, J.W.[Ji-Wen],
Feng, J.J.[Jian-Jiang],
Zhou, J.[Jie],
Nonlinear Structural Hashing for Scalable Video Search,
CirSysVideo(28), No. 6, June 2018, pp. 1421-1433.
IEEE DOI
1806
Binary codes, Feature extraction,
Multi-layer neural network, Nearest neighbor searches,
structural information
BibRef
Chen, Z.X.[Zhi-Xiang],
Zhou, J.[Jie],
Collaborative multiview hashing,
PR(75), No. 1, 2018, pp. 149-160.
Elsevier DOI
1712
Multiview hashing
BibRef
Yuan, X.[Xin],
Chen, Z.X.[Zhi-Xiang],
Lu, J.W.[Ji-Wen],
Feng, J.J.[Jian-Jiang],
Zhou, J.[Jie],
Reconstruction-based supervised hashing,
PR(79), 2018, pp. 147-161.
Elsevier DOI
1804
BibRef
Zhang, C.,
Zheng, W.S.,
Semi-Supervised Multi-View Discrete Hashing for Fast Image Search,
IP(26), No. 6, June 2017, pp. 2604-2617.
IEEE DOI
1705
cryptography, image coding, learning (artificial intelligence),
Hamming space, compact coding,
composite discrete hash learning modeling, fast image search,
learning hashing codes, multi-view hash models, relaxation,
semisupervised multiview discrete hashing,
unsupervised multiview hash models, Binary codes, Data models,
Labeling, Linear programming, Machine learning,
Matrix decomposition, Semantics, Hash function learning,
fast search, multi-view modeling, semi-supervised, methods
BibRef
Lu, J.[Jiwen],
Liong, V.E.[Venice Erin],
Zhou, J.[Jie],
Deep Hashing for Scalable Image Search,
IP(26), No. 5, May 2017, pp. 2352-2367.
IEEE DOI
1704
Binary codes.
BibRef
Liong, V.E.[Venice Erin],
Lu, J.W.[Ji-Wen],
Tan, Y.P.[Yap-Peng],
Zhou, J.,
Deep Video Hashing,
MultMed(19), No. 6, June 2017, pp. 1209-1219.
IEEE DOI
1705
BibRef
And:
Cross-Modal Deep Variational Hashing,
ICCV17(4097-4105)
IEEE DOI
1802
Binary codes, Computer architecture, Convolutional codes,
Feature extraction, Machine learning, Quantization (signal),
Visualization, Deep learning, scalable video search, video hashing.
approximation theory, binary codes, image processing,
image retrieval, inference mechanisms,
Training
BibRef
Liong, V.E.[Venice Erin],
Lu, J.W.[Ji-Wen],
Tan, Y.P.[Yap-Peng],
Cross-Modal Discrete Hashing,
PR(79), 2018, pp. 114-129.
Elsevier DOI
1804
Multimedia retrieval, Hashing, Cross-modal, Discrete optimization
BibRef
Ma, D.,
Liang, J.,
He, R.,
Kong, X.,
Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data,
MultMedMag(24), No. 2, April 2017, pp. 56-65.
IEEE DOI
1705
Binary codes, Linear programming, Mathematical model,
Multimedia communication, Optimization, Quantization (signal),
Semantics, big data, cross-modal hashing, data analysis,
discrete binary codes, graphics, multimedia, multimedia, retrieval
BibRef
Li, K.[Kai],
Qi, G.J.[Guo-Jun],
Ye, J.[Jun],
Hua, K.A.[Kien A.],
Linear Subspace Ranking Hashing for Cross-Modal Retrieval,
PAMI(39), No. 9, September 2017, pp. 1825-1838.
IEEE DOI
1708
Correlation, Hamming distance, Indexing, Multimedia communication,
Probabilistic logic, Semantics, Sparse matrices,
Cross-modal hashing, image and text retrieval,
large-scale similarity search, max-order-statistics,
rank correlation measures, ranking, subspace, learning
BibRef
Shen, F.,
Yang, Y.,
Liu, L.,
Liu, W.,
Tao, D.,
Shen, H.T.,
Asymmetric Binary Coding for Image Search,
MultMed(19), No. 9, September 2017, pp. 2022-2032.
IEEE DOI
1708
Binary codes, Databases, Encoding, Kernel, Optimization,
Hashing, binary codes, retrieval
BibRef
Bai, X.[Xiao],
Yan, C.[Cheng],
Yang, H.C.[Hai-Chuan],
Bai, L.[Lu],
Zhou, J.[Jun],
Hancock, E.R.[Edwin Robert],
Adaptive hash retrieval with kernel based similarity,
PR(75), No. 1, 2018, pp. 136-148.
Elsevier DOI
1712
Hashing
BibRef
Liu, Y.[Yun],
Yan, C.[Cheng],
Bai, X.[Xiao],
Zhou, J.[Jun],
Cross-Model Retrieval with Reconstruct Hashing,
SSSPR18(386-394).
Springer DOI
1810
BibRef
Liu, Y.Z.[Yan-Zhen],
Bai, X.[Xiao],
Yan, C.[Cheng],
Wang, J.[Jing],
Zhou, J.[Jun],
Hashing with Non-Linear Manifold Learning,
DICTA16(1-8)
IEEE DOI
1701
Binary codes
BibRef
Zhu, L.[Lei],
Shen, J.L.[Jia-Lie],
Xie, L.[Liang],
Cheng, Z.Y.[Zhi-Yong],
Unsupervised Topic Hypergraph Hashing for Efficient Mobile Image
Retrieval,
Cyber(47), No. 11, November 2017, pp. 3941-3954.
IEEE DOI
1710
BibRef
Earlier: A3, A1, A4, Only:
Multi-Task Multi-modal Semantic Hashing for Web Image Retrieval with
Limited Supervision,
MMMod17(I: 465-477).
Springer DOI
1701
Binary codes, Correlation, Image retrieval,
Mobile communication, High-order semantic correlations
BibRef
Matsui, Y.[Yusuke],
Yamasaki, T.[Toshihiko],
Aizawa, K.[Kiyoharu],
PQTable: Nonexhaustive Fast Search for Product-Quantized Codes Using
Hash Tables,
MultMed(20), No. 7, July 2018, pp. 1809-1822.
IEEE DOI
1806
BibRef
Earlier:
PQTable: Fast Exact Asymmetric Distance Neighbor Search for Product
Quantization Using Hash Tables,
ICCV15(1940-1948)
IEEE DOI
1602
Approximation algorithms, Encoding, Euclidean distance, Indexing,
Quantization (signal), Runtime, Product quantization,
hash table.
Artificial neural networks
BibRef
Su, L.L.[Liang Liang],
Tang, J.[Jun],
Liang, D.[Dong],
Zhu, M.[Ming],
Multi-bit quantisation for similarity-preserving hashing,
IET-CV(12), No. 5, August 2018, pp. 616-622.
DOI Link
1807
BibRef
Yang, J.,
Sun, X.,
Lai, Y.,
Zheng, L.,
Cheng, M.,
Recognition From Web Data: A Progressive Filtering Approach,
IP(27), No. 11, November 2018, pp. 5303-5315.
IEEE DOI
1809
convolution, data mining, feedforward neural nets,
image classification, Internet, iterative methods,
multiple labels
BibRef
Chahkandi, V.[Vahid],
Fadaeieslam, M.J.[Mohammad Javad],
Yaghmaee, F.[Farzin],
Improvement of image description using bidirectional LSTM,
MultInfoRetr(8), No. 3, September 2018, pp. 147-155.
Springer DOI
1809
BibRef
Jiang, Q.Y.,
Cui, X.,
Li, W.J.,
Deep Discrete Supervised Hashing,
IP(27), No. 12, December 2018, pp. 5996-6009.
IEEE DOI
1810
Binary codes, Image coding, Semantics, Encoding, Training,
Optimization, Image retrieval, Image retrieval, deep learning,
deep supervised hashing.
BibRef
Jiang, Q.Y.,
Li, W.J.,
Discrete Latent Factor Model for Cross-Modal Hashing,
IP(28), No. 7, July 2019, pp. 3490-3501.
IEEE DOI
1906
BibRef
Earlier:
Deep Cross-Modal Hashing,
CVPR17(3270-3278)
IEEE DOI
1711
binary codes, file organisation, information retrieval,
multimedia computing, cross-modal similarity search, CMH methods,
multimedia.
Binary codes, Convolutional codes, Databases, Machine learning,
Neural networks, Semantics, Training
BibRef
Lai, Z.,
Chen, Y.,
Wu, J.,
Wong, W.K.,
Shen, F.,
Jointly Sparse Hashing for Image Retrieval,
IP(27), No. 12, December 2018, pp. 6147-6158.
IEEE DOI
1810
binary codes, feature extraction, image retrieval,
iterative methods, learning (artificial intelligence),
feature selection
BibRef
Chen, Y.,
Lai, Z.,
Wong, W.K.,
Shen, L.,
Hu, Q.,
Low-Rank Linear Embedding for Image Recognition,
MultMed(20), No. 12, December 2018, pp. 3212-3222.
IEEE DOI
1812
face recognition, feature extraction, image representation,
iterative methods, matrix algebra, optimisation,
feature selection
BibRef
Wang, Y.W.[Yong-Wei],
Palangi, H.[Hamid],
Wang, Z.J.[Z. Jane],
Wang, H.Q.[Hao-Qian],
RevHashNet: Perceptually de-hashing real-valued image hashes for
similarity retrieval,
SP:IC(68), 2018, pp. 68-75.
Elsevier DOI
1810
RevHashNet, Image hashing reversion, Image de-hashing, Security, Deep learning
BibRef
Hu, D.,
Nie, F.,
Li, X.,
Discrete Spectral Hashing for Efficient Similarity Retrieval,
IP(28), No. 3, March 2019, pp. 1080-1091.
IEEE DOI
1812
codes, data analysis, file organisation, image retrieval,
optimisation, spectral analysis, discrete codes,
discrete spectral hashing
BibRef
Zhang, H.F.[Hao-Feng],
Long, Y.[Yang],
Shao, L.[Ling],
Zero-shot Hashing with orthogonal projection for image retrieval,
PRL(117), 2019, pp. 201-209.
Elsevier DOI
1901
Zero-shot Hashing, Orthogonal projection, Image retrieval
BibRef
Chu, C.Q.[Chao-Qun],
Gong, D.[Dahan],
Chen, K.[Kai],
Guo, Y.C.[Yu-Chen],
Han, J.G.[Jun-Gong],
Ding, G.G.[Gui-Guang],
Optimized projection for hashing,
PRL(117), 2019, pp. 169-178.
Elsevier DOI
1901
Hashing, Quantization, Algorithm
BibRef
Long, Y.[Yang],
Guan, Y.[Yu],
Shao, L.[Ling],
Generic compact representation through visual-semantic ambiguity
removal,
PRL(117), 2019, pp. 186-192.
Elsevier DOI
1901
Graph regularisation, Zero-shot learning, Hashing,
Image retrieval, Computer vision
BibRef
Guan, J.[Jian],
Li, Y.F.[Yi-Fan],
Sun, J.G.[Jian-Guo],
Wang, X.[Xuan],
Zhao, H.N.[Hai-Nan],
Zhang, J.J.[Jia-Jia],
Liu, Z.C.[Ze-Chao],
Qi, S.H.[Shu-Han],
Graph-based supervised discrete image hashing,
JVCIR(58), 2019, pp. 675-687.
Elsevier DOI
1901
Discrete optimization, Graph regularization, Image retrieval,
Supervised discrete hashing
BibRef
Zhu, Y.X.[Yu-Xuan],
Li, Y.[Yali],
Wang, S.J.[Sheng-Jin],
Unsupervised Deep Hashing With Adaptive Feature Learning for Image
Retrieval,
SPLetters(26), No. 3, March 2019, pp. 395-399.
IEEE DOI
1903
computational complexity, feature extraction, file organisation,
image retrieval, learning (artificial intelligence),
adaptive feature learning
BibRef
Jin, L.,
Shu, X.,
Li, K.,
Li, Z.,
Qi, G.,
Tang, J.,
Deep Ordinal Hashing With Spatial Attention,
IP(28), No. 5, May 2019, pp. 2173-2186.
IEEE DOI
1903
convolutional neural nets, file organisation,
image representation, image retrieval, deep ordinal hashing,
global semantic information
BibRef
Hu, D.,
Nie, F.,
Li, X.,
Deep Binary Reconstruction for Cross-Modal Hashing,
MultMed(21), No. 4, April 2019, pp. 973-985.
IEEE DOI
1903
Semantics, Task analysis, Binary codes, Correlation,
Image reconstruction, Sparse matrices, Training,
binary reconstruction
BibRef
Liu, Y.,
Song, J.,
Zhou, K.,
Yan, L.,
Liu, L.,
Zou, F.,
Shao, L.,
Deep Self-Taught Hashing for Image Retrieval,
Cyber(49), No. 6, June 2019, pp. 2229-2241.
IEEE DOI
1904
Feature extraction, Machine learning, Semantics, Image retrieval,
Task analysis, Computer science, Binary codes, Deep Learning,
self-taught
BibRef
\
Ma, Q.[Qing],
Bai, C.[Cong],
Zhang, J.L.[Jing-Lin],
Liu, Z.[Zhi],
Chen, S.Y.[Sheng-Yong],
Supervised learning based discrete hashing for image retrieval,
PR(92), 2019, pp. 156-164.
Elsevier DOI
1905
Hashing, Supervised learning, Neural network, Optimization
BibRef
Wang, Y.,
Liang, J.,
Cao, D.,
Sun, Z.,
Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization,
IP(28), No. 6, June 2019, pp. 2665-2679.
IEEE DOI
1905
binary codes, file organisation, information retrieval,
learning (artificial intelligence), neural nets,
Hamming-isometric
BibRef
Hu, M.,
Yang, Y.,
Shen, F.,
Xie, N.,
Hong, R.,
Shen, H.T.,
Collective Reconstructive Embeddings for Cross-Modal Hashing,
IP(28), No. 6, June 2019, pp. 2770-2784.
IEEE DOI
1905
file organisation, image retrieval, iterative methods,
learning (artificial intelligence), search problems, image data,
cross-modal retrieval
BibRef
Zhang, S.,
Li, J.,
Zhang, B.,
Semantic Cluster Unary Loss for Efficient Deep Hashing,
IP(28), No. 6, June 2019, pp. 2908-2920.
IEEE DOI
1905
file organisation, information retrieval,
learning (artificial intelligence), pattern classification,
information retrieval
BibRef
Li, P.,
Zhu, X.,
Zhang, X.,
Ren, P.,
Wang, L.,
Hash Code Reconstruction for Fast Similarity Search,
SPLetters(26), No. 5, May 2019, pp. 695-699.
IEEE DOI
1905
binary codes, file organisation, image coding,
image reconstruction, image retrieval,
reconstruction
BibRef
Kang, C.[Chen],
Zhu, L.[Li],
Qian, X.M.[Xue-Ming],
Han, J.W.[Jun-Wei],
Wang, M.[Meng],
Tang, Y.Y.[Yuan Yan],
Geometry and Topology Preserving Hashing for SIFT Feature,
MultMed(21), No. 6, June 2019, pp. 1563-1576.
IEEE DOI
1906
Geometry, Visualization, Image retrieval, Training, Topology,
Hamming distance, CBIR, geometric information, GTPH, hashing, SIFT
BibRef
Wang, X.F.[Xiao-Fei],
Lee, F.F.[Fei-Fei],
Chen, Q.[Qiu],
Similarity-preserving hashing based on deep neural networks for
large-scale image retrieval,
JVCIR(61), 2019, pp. 260-271.
Elsevier DOI
1906
Large-scale image retrieval, Similarity comparison,
Deep learning, Multi-label learning, Quantization error
BibRef
Cui, Y.[Yan],
Jiang, J.L.[Jie-Lin],
Hu, Z.J.[Zuo-Jin],
Jiang, X.Y.[Xiao-Yan],
Yan, W.[Wuxia],
Zhang, M.L.[Min-Ling],
Neighborhood kinship preserving hashing for supervised learning,
SP:IC(76), 2019, pp. 31-40.
Elsevier DOI
1906
Hashing learning, Kinship preserving hashing,
Discriminant information, Discriminant hashing, Robust distance metric
BibRef
Cheng, S.[Shuli],
Lai, H.[Huicheng],
Wang, L.[Liejun],
Qin, J.[Jiwei],
A novel deep hashing method for fast image retrieval,
VC(35), No. 9, September 2018, pp. 1255-1266.
WWW Link.
1908
BibRef
Zhang, Z.[Zheng],
Lai, Z.H.[Zhi-Hui],
Huang, Z.[Zi],
Wong, W.K.[Wai Keung],
Xie, G.S.[Guo-Sen],
Liu, L.[Li],
Shao, L.[Ling],
Scalable Supervised Asymmetric Hashing With Semantic and Latent
Factor Embedding,
IP(28), No. 10, October 2019, pp. 4803-4818.
IEEE DOI
1909
binary codes, cryptography, file organisation,
learning (artificial intelligence), matrix algebra, optimisation,
image retrieval
BibRef
Do, T.,
Le, K.,
Hoang, T.,
Le, H.,
Nguyen, T.V.,
Cheung, N.,
Simultaneous Feature Aggregating and Hashing for Compact Binary Code
Learning,
IP(28), No. 10, October 2019, pp. 4954-4969.
IEEE DOI
1909
binary codes, content-based retrieval, cryptography,
feature extraction, image coding, image representation,
embedding
BibRef
Ge, L.W.[Lin-Wei],
Zhang, J.[Jun],
Xia, Y.[Yi],
Chen, P.[Peng],
Wang, B.[Bing],
Zheng, C.H.[Chun-Hou],
Deep spatial attention hashing network for image retrieval,
JVCIR(63), 2019, pp. 102577.
Elsevier DOI
1909
Hash function, Deep learning, Image retrieval,
Convolutional neural network (CNN), Deep hashing
BibRef
Zhang, X.[Xueni],
Zhou, L.[Lei],
Bai, X.[Xiao],
Luan, X.S.[Xiu-Shu],
Luo, J.[Jie],
Hancock, E.R.[Edwin R.],
Deep supervised hashing using symmetric relative entropy,
PRL(125), 2019, pp. 677-683.
Elsevier DOI
1909
Image retrieval, Hashing, Symmetric relative entropy
BibRef
Cakir, F.[Fatih],
He, K.[Kun],
Bargal, S.A.[Sarah Adel],
Sclaroff, S.[Stan],
Hashing with Mutual Information,
PAMI(41), No. 10, October 2019, pp. 2424-2437.
IEEE DOI
1909
Mutual information, Task analysis, Hash functions, Optimization,
Quantization (signal), Deep learning, Neural networks, Hashing,
mutual information
BibRef
Lai, H.,
Pan, Y.,
Liu, S.,
Weng, Z.,
Yin, J.,
Improved Search in Hamming Space Using Deep Multi-Index Hashing,
CirSysVideo(29), No. 9, September 2019, pp. 2844-2855.
IEEE DOI
1909
Image retrieval, deep multi-index hashing, deep-learning,
nearest neighbor search
BibRef
Yu, J.[Jun],
Wu, X.J.[Xiao-Jun],
Kittler, J.V.[Josef V.],
Discriminative Supervised Hashing for Cross-Modal Similarity Search,
IVC(89), 2019, pp. 50-56.
Elsevier DOI
1909
Cross-modal retrieval, Supervised hashing,
Unified binary codes, Matrix factorization, Discriminative
BibRef
Tang, X.[Xu],
Liu, C.[Chao],
Ma, J.J.[Jing-Jing],
Zhang, X.R.[Xiang-Rong],
Liu, F.[Fang],
Jiao, L.C.[Li-Cheng],
Large-Scale Remote Sensing Image Retrieval Based on Semi-Supervised
Adversarial Hashing,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Da, C.[Cheng],
Meng, G.F.[Gao-Feng],
Xiang, S.M.[Shi-Ming],
Ding, K.[Kun],
Xu, S.B.[Shi-Biao],
Yang, Q.[Qing],
Pan, C.H.[Chun-Hong],
Nonlinear Asymmetric Multi-Valued Hashing,
PAMI(41), No. 11, November 2019, pp. 2660-2676.
IEEE DOI
1910
Databases, Binary codes, Optimization, Neural networks, Encoding,
Hamming distance, Semantics, Asymmetric hashing,
nonlinear transformation
BibRef
Fang, Y.X.[Yi-Xian],
Ren, Y.[Yuwei],
Supervised discrete cross-modal hashing based on kernel discriminant
analysis,
PR(98), 2020, pp. 107062.
Elsevier DOI
1911
Cross-modal hashing, Discrete, Kernel discriminant analysis
BibRef
Zhou, L.[Lei],
Bai, X.[Xiao],
Liu, X.L.[Xiang-Long],
Zhou, J.[Jun],
Hancock, E.R.[Edwin R.],
Learning binary code for fast nearest subspace search,
PR(98), 2020, pp. 107040.
Elsevier DOI
1911
Nearest subspace search, Learning binary code, Hashing, Matrix classifier
BibRef
Guo, J.,
Zhu, W.,
Collective Affinity Learning for Partial Cross-Modal Hashing,
IP(29), No. , 2020, pp. 1344-1355.
IEEE DOI
1911
Learning systems, Adaptation models, Binary codes, Time complexity,
Probabilistic logic, Fuses, Convergence,
similarity search
BibRef
Li, C.,
Yan, T.,
Luo, X.,
Nie, L.,
Xu, X.,
Supervised Robust Discrete Multimodal Hashing for Cross-Media
Retrieval,
MultMed(21), No. 11, November 2019, pp. 2863-2877.
IEEE DOI
1911
Binary codes, Semantics, Hash functions, Task analysis, Optimization,
Quantization (signal), Correlation,
discrete hashing
BibRef
Liao, J.X.[Jian-Xin],
Li, B.[Baoran],
Yang, D.[Di],
Wang, J.Y.[Jing-Yu],
Qi, Q.[Qi],
Wang, J.[Jing],
Deep supervised hashing network with integrated regularisation,
IET-IPR(13), No. 12, October 2019, pp. 2143-2151.
DOI Link
1911
BibRef
Shen, Y.M.[Yu-Ming],
Liu, L.[Li],
Shao, L.[Ling],
Unsupervised Binary Representation Learning with Deep Variational
Networks,
IJCV(127), No. 11-12, December 2019, pp. 1614-1628.
Springer DOI
1911
Hashing, Unsupervised learning, Deep learning, Image retrieval.
BibRef
Bai, J.,
Ni, B.,
Wang, M.,
Li, Z.,
Cheng, S.,
Yang, X.,
Hu, C.,
Gao, W.,
Deep Progressive Hashing for Image Retrieval,
MultMed(21), No. 12, December 2019, pp. 3178-3193.
IEEE DOI
1912
Binary codes, Semantics, Image retrieval, Task analysis,
Visualization, Feature extraction, Recurrent neural networks,
graph-based recurrent neural networks
BibRef
Peng, H.[Hanyu],
He, J.[Junjun],
Chen, S.F.[Shi-Feng],
Wang, Y.[Yali],
Qiao, Y.[Yu],
Dual-supervised attention network for deep cross-modal hashing,
PRL(128), 2019, pp. 333-339.
Elsevier DOI
1912
Cross-modal retrieval, Deep learning, Hash code
BibRef
Valsesia, D.[Diego],
Fosson, S.M.[Sophie M.],
Ravazzi, C.[Chiara],
Bianchi, T.[Tiziano],
Magli, E.[Enrico],
Analysis of SparseHash:
An efficient embedding of set-similarity via sparse projections,
PRL(128), 2019, pp. 93-99.
Elsevier DOI
1912
Embeddings, Sparse random projections, Set-similarity,
Jaccard similarity, Locality-sensitive hashing
BibRef
Zhang, Z.[Zheng],
Zou, Q.[Qin],
Lin, Y.W.[Yue-Wei],
Chen, L.[Long],
Wang, S.[Song],
Improved Deep Hashing With Soft Pairwise Similarity for Multi-Label
Image Retrieval,
MultMed(22), No. 2, February 2020, pp. 540-553.
IEEE DOI
2001
Image retrieval, Semantics, Hash functions, Binary codes,
Computer science, Neural networks, Kernel, Image retrieval,
deep hashing
BibRef
Bai, J.,
Li, Z.,
Ni, B.,
Wang, M.,
Yang, X.,
Hu, C.,
Gao, W.,
Loopy Residual Hashing:
Filling the Quantization Gap for Image Retrieval,
MultMed(22), No. 1, January 2020, pp. 215-228.
IEEE DOI
2001
Binary codes, Quantization (signal), Semantics, Image retrieval,
Feature extraction, Visualization, Hamming distance, Deep Hashing,
Residual
BibRef
Chen, Y.X.[Ya-Xiong],
Lu, X.Q.[Xiao-Qiang],
A Deep Hashing Technique for Remote Sensing Image-Sound Retrieval,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Liong, V.E.[Venice Erin],
Lu, J.[Jiwen],
Duan, L.Y.[Ling-Yu],
Tan, Y.P.[Yap-Peng],
Deep Variational and Structural Hashing,
PAMI(42), No. 3, March 2020, pp. 580-595.
IEEE DOI
2002
BibRef
Earlier: A1, A2, A4, Only:
Learning a cross-modal hashing network for multimedia search,
ICIP17(3700-3704)
IEEE DOI
1803
Binary codes, Training, Visualization, Semantics,
Quantization (signal), Probabilistic logic, Convolution,
cross-modal retrieval.
Benchmark testing, Multimedia communication,
Optimization, Semantics, Training, hashing
BibRef
Hoang, T.[Tuan],
Do, T.T.[Thanh-Toan],
Le, H.[Huu],
Le-Tan, D.K.[Dang-Khoa],
Cheung, N.M.[Ngai-Man],
Simultaneous compression and quantization:
A joint approach for efficient unsupervised hashing,
CVIU(191), 2020, pp. 102852.
Elsevier DOI
2002
BibRef
Do, T.T.[Thanh-Toan],
Le-Tan, D.K.[Dang-Khoa],
Pham, T.T.,
Cheung, N.M.[Ngai-Man],
Simultaneous Feature Aggregating and Hashing for Large-Scale Image
Search,
CVPR17(4217-4226)
IEEE DOI
1711
Binary codes, Feature extraction, Image reconstruction,
Image representation, Optimization, Quantization (signal), Training
BibRef
Chen, Y.,
Tian, Z.,
Zhang, H.,
Wang, J.,
Zhang, D.,
Strongly Constrained Discrete Hashing,
IP(29), 2020, pp. 3596-3611.
IEEE DOI
2002
Learning to hash, image retrieval, discrete optimization
BibRef
Liu, X.,
Nie, X.,
Zhou, Q.,
Nie, L.,
Yin, Y.,
Model Optimization Boosting Framework for Linear Model Hash Learning,
IP(29), 2020, pp. 4254-4268.
IEEE DOI
2002
Approximate nearest neighbor search, hashing,
linear-based hashing, self-improvement
BibRef
Ding, Y.,
Wong, W.K.,
Lai, Z.,
Zhang, Z.,
Bilinear Supervised Hashing Based on 2D Image Features,
CirSysVideo(30), No. 2, February 2020, pp. 590-602.
IEEE DOI
2002
Binary codes, Linear programming,
Optimization, Feature extraction, Kernel, Learning systems,
discrete optimization
BibRef
Ma, C.[Chao],
Gong, C.[Chen],
Li, X.[Xiang],
Huang, X.L.[Xiao-Lin],
Liu, W.[Wei],
Yang, J.[Jie],
Toward Making Unsupervised Graph Hashing Discriminative,
MultMed(22), No. 3, March 2020, pp. 760-774.
IEEE DOI
2003
Binary codes, Principal component analysis, Hamming distance,
Videos, Manifolds, Probabilistic logic, Data models,
probabilistic model
BibRef
Gattupalli, V.[Vijetha],
Zhuo, Y.[Yaoxin],
Li, B.X.[Bao-Xin],
Weakly Supervised Deep Image Hashing Through Tag Embeddings,
CVPR19(10367-10376).
IEEE DOI
2002
BibRef
Yang, E.[Erkun],
Liu, T.[Tongliang],
Deng, C.[Cheng],
Liu, W.[Wei],
Tao, D.C.[Da-Cheng],
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs,
CVPR19(2941-2950).
IEEE DOI
2002
BibRef
Wu, L.,
Fang, Y.,
Ling, H.,
Chen, J.,
Li, P.,
Robust Mutual Learning Hashing,
ICIP19(2219-2223)
IEEE DOI
1910
Supervised hashing, spatial transformer networks, mutual learning
BibRef
Kaga, Y.,
Fujio, M.,
Takahashi, K.,
Ohki, T.,
Nishigaki, M.,
PDH: Probabilistic Deep Hashing Based on Map Estimation of Hamming
Distance,
ICIP19(2229-2233)
IEEE DOI
1910
hashing, image retrieval, deep learning, binary representation
BibRef
Wu, Y.,
Sun, Q.,
Zhang, J.,
Cheng, J.,
Liu, B.,
Zhang, Q.,
Deep Covariance Estimation Hashing for Image Retrieval,
ICIP19(2234-2238)
IEEE DOI
1910
Deep hashing, pairwise interactions, covariance estimation, image retrieval
BibRef
Shi, Y.,
Nie, X.,
Zhou, X.,
Xi, X.,
Yin, Y.,
Variable-Length Quantization Strategy for Hashing,
ICIP19(2239-2243)
IEEE DOI
1910
Hashing, quantization, variable-length quantization
BibRef
Yang, H.,
Tu, C.,
Chen, C.,
Adaptive Labeling For Hash Code Learning Via Neural Networks,
ICIP19(2244-2248)
IEEE DOI
1910
Image retrieval, deep learning, hash
BibRef
Mandal, D.[Devraj],
Annadani, Y.[Yashas],
Biswas, S.[Soma],
GrowBit: Incremental Hashing for Cross-Modal Retrieval,
ACCV18(IV:305-321).
Springer DOI
1906
BibRef
Pidhorskyi, S.[Stanislav],
Jones, Q.[Quinn],
Motiian, S.[Saeid],
Adjeroh, D.[Donald],
Doretto, G.[Gianfranco],
Deep Supervised Hashing with Spherical Embedding,
ACCV18(IV:417-434).
Springer DOI
1906
BibRef
Gkountakos, K.[Konstantinos],
Semertzidis, T.[Theodoros],
Papadopoulos, G.T.[Georgios T.],
Daras, P.[Petros],
A Reliability Object Layer for Deep Hashing-Based Visual Indexing,
MMMod19(II:132-143).
Springer DOI
1901
BibRef
Zhou, C.[Chang],
Po, L.M.[Lai-Man],
Liu, M.Y.[Meng-Yang],
Yuen, W.Y.F.[Wilson Y. F.],
Wong, P.H.W.[Peter H. W.],
Luk, H.T.[Hon-Tung],
Lau, K.W.[Kin Wai],
Cheung, H.K.[Hok Kwan],
Deep Hashing with Triplet Labels and Unification Binary Code Selection
for Fast Image Retrieval,
MMMod19(I:277-288).
Springer DOI
1901
BibRef
Cheng, J.D.[Jing-Dong],
Sun, Q.L.[Qiu-Le],
Zhang, J.X.[Jian-Xin],
Wei, X.P.[Xiao-Peng],
Zhang, Q.[Qiang],
Deep High-order Supervised Hashing for Image Retrieval,
ICPR18(2693-2698)
IEEE DOI
1812
Correlation, Feature extraction, Image retrieval,
Convolutional codes, Task analysis, Backpropagation, Computer architecture
BibRef
Yu, J.,
Wu, X.,
Kittler, J.V.,
Semi-supervised Hashing for Semi-Paired Cross-View Retrieval,
ICPR18(958-963)
IEEE DOI
1812
Optimization, Quantization (signal), Linear programming,
Correlation, Feature extraction, Semantics, Matrix converters,
retrieval
BibRef
Chen, Z.,
Yuan, X.,
Lu, J.,
Tian, Q.,
Zhou, J.,
Deep Hashing via Discrepancy Minimization,
CVPR18(6838-6847)
IEEE DOI
1812
Binary codes, Optimization, Training, Minimization,
Linear programming, Neural networks, Quantization (signal)
BibRef
Cao, Y.,
Long, M.,
Liu, B.,
Wang, J.,
Deep Cauchy Hashing for Hamming Space Retrieval,
CVPR18(1229-1237)
IEEE DOI
1812
Hamming distance, Quantization (signal), Aerospace electronics,
Training, Binary codes, Image retrieval
BibRef
Yuan, X.[Xin],
Ren, L.L.[Liang-Liang],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
Relaxation-Free Deep Hashing via Policy Gradient,
ECCV18(II: 141-157).
Springer DOI
1810
BibRef
Zhang, X.[Xueni],
Zhou, L.[Lei],
Bai, X.[Xiao],
Hancock, E.R.[Edwin R.],
Deep Supervised Hashing with Information Loss,
SSSPR18(395-405).
Springer DOI
1810
BibRef
Cao, Y.[Yue],
Liu, B.[Bin],
Long, M.S.[Ming-Sheng],
Wang, J.M.[Jian-Min],
Cross-Modal Hamming Hashing,
ECCV18(I: 207-223).
Springer DOI
1810
BibRef
Hu, Z.,
Chen, J.,
Lu, H.,
Zhang, T.,
Bayesian Supervised Hashing,
CVPR17(3288-3295)
IEEE DOI
1711
Bayes methods, Binary codes, Estimation, Mathematical model,
Optimization, Semantics, Training, data
BibRef
Da, C.[Cheng],
Xu, S.B.[Shi-Biao],
Ding, K.[Kun],
Meng, G.F.[Gao-Feng],
Xiang, S.M.[Shi-Ming],
Pan, C.H.[Chun-Hong],
AMVH: Asymmetric Multi-Valued hashing,
CVPR17(898-906)
IEEE DOI
1711
Binary codes, Databases, Dictionaries, Encoding, Linear programming,
Optimization.
BibRef
Zhuang, N.,
Ye, J.,
Hua, K.A.,
DLSTM approach to video modeling with hashing for large-scale video
retrieval,
ICPR16(3222-3227)
IEEE DOI
1705
LSTM: long short-term memory Neural Network.
Computational modeling, Data models, Feature extraction,
Quantization (signal), Semantics, Speech recognition, Training
BibRef
Wang, X.F.[Xiao-Fang],
Shi, Y.[Yi],
Kitani, K.M.[Kris M.],
Deep Supervised Hashing with Triplet Labels,
ACCV16(I: 70-84).
Springer DOI
1704
BibRef
Yang, G.Q.[Guan-Qun],
Xu, X.S.[Xin-Shun],
Guo, S.Q.[Shan-Qing],
Wang, X.L.[Xiao-Lin],
M3LH: Multi-modal Multi-label Hashing for Large Scale Data Search,
MMMod17(I: 201-213).
Springer DOI
1701
BibRef
Ong, E.J.[Eng-Jon],
Bober, M.[Miroslaw],
Improved Hamming Distance Search Using Variable Length Hashing,
CVPR16(2000-2008)
IEEE DOI
1612
BibRef
Kalantidis, Y.[Yannis],
Kennedy, L.[Lyndon],
Nguyen, H.[Huy],
Mellina, C.[Clayton],
Shamma, D.A.[David A.],
LOH and Behold: Web-Scale Visual Search, Recommendation and Clustering
Using Locally Optimized Hashing,
WebScale16(I: 702-718).
Springer DOI
1611
BibRef
Weng, Z.Y.[Zhen-Yu],
Yao, W.B.[Wen-Bin],
Sun, Z.Q.[Zi-Qiang],
Zhu, Y.S.[Yue-Sheng],
Asymmetric distance for spherical hashing,
ICIP16(206-210)
IEEE DOI
1610
Binary codes
BibRef
Li, Y.Q.[Yun-Qiang],
Zha, Y.F.[Yu-Fei],
Li, H.Y.[Huan-Yu],
Zhang, S.J.[Sheng-Jie],
Tao, K.[Ku],
Yuan, Y.[Yang],
Learning weighted hashing on local structured data,
ICIP16(211-215)
IEEE DOI
1610
Binary codes
BibRef
Wang, Z.[Zheng],
Liang, T.[Ti],
Shapelearner: Towards Shape-based Visual Knowledge Harvesting,
ISPRS16(B3: 789-796).
DOI Link
1610
BibRef
Gholami, B.,
Hajisami, A.,
Kernel auto-encoder for semi-supervised hashing,
WACV16(1-8)
IEEE DOI
1606
Binary codes
BibRef
Mukherjee, L.[Lopamudra],
Ravi, S.N.[Sathya N.],
Ithapu, V.K.[Vamsi K.],
Holmes, T.[Tyler],
Singh, V.[Vikas],
An NMF Perspective on Binary Hashing,
ICCV15(4184-4192)
IEEE DOI
1602
Benchmark testing
BibRef
Ding, K.[Kun],
Huo, C.L.[Chun-Lei],
Fan, B.[Bin],
Pan, C.H.[Chun-Hong],
kNN Hashing with Factorized Neighborhood Representation,
ICCV15(1098-1106)
IEEE DOI
1602
Binary codes
BibRef
Zeng, Z.Q.[Zi-Qian],
Wu, Z.[Zimevg],
Ng, W.W.Y.,
Projection selection hashing,
ICWAPR15(185-191)
IEEE DOI
1511
Fourier analysis
BibRef
Jiang, K.[Ke],
Que, Q.[Qichao],
Kulis, B.[Brian],
Revisiting kernelized locality-sensitive hashing for improved
large-scale image retrieval,
CVPR15(4933-4941)
IEEE DOI
1510
BibRef
Fuentes-Pineda, G.[Gibran],
Meza-Ruíz, I.V.[Ivan Vladimir],
Sampled Weighted Min-Hashing for Large-Scale Topic Mining,
MCPR15(203-213).
Springer DOI
1506
BibRef
Bondugula, S.[Sravanthi],
Davis, L.S.[Larry S.],
Hierarchical Spherical Hashing for Compressing High Dimensional
Vectors,
WACV15(558-565)
IEEE DOI
1503
Art; Binary codes; Convergence; Force; Training; Training data;
For retrieval operations.
BibRef
Feng, S.Y.[Shao-Yong],
Tian, X.[Xing],
Ng, W.W.Y.[Wing W.Y.],
Re-ranking with two-level hashing,
ICWAPR14(98-103)
IEEE DOI
1412
Artificial neural networks
BibRef
Wang, Q.F.[Qi-Fan],
Si, L.[Luo],
Zhang, D.[Dan],
Learning to Hash with Partial Tags: Exploring Correlation between Tags
and Hashing Bits for Large Scale Image Retrieval,
ECCV14(III: 378-392).
Springer DOI
1408
BibRef
Trad, M.R.[Mohamed Riadh],
Joly, A.[Alexis],
Boujemaa, N.[Nozha],
Distributed KNN-graph approximation via hashing,
ICMR12(43).
DOI Link
1301
K-Nearest Neighbor Graph (K-NNG) of large
and high dimensional datasets
BibRef
Liu, X.L.[Xiang-Long],
Mu, Y.D.[Ya-Dong],
Lang, B.[Bo],
Chang, S.F.[Shih-Fu],
Compact hashing for mixed image-keyword query over multi-label images,
ICMR12(18).
DOI Link
1301
locality-sensitive hashing (LSH)
BibRef
Yang, H.[Heng],
Wang, Q.[Qing],
He, Z.C.[Zhou-Can],
Indexing Large Visual Vocabulary by Randomized Dimensions Hashing for
High Quantization Accuracy: Improving the Object Retrieval Quality,
CAIP09(783-790).
Springer DOI
0909
BibRef
He, J.F.[Jun-Feng],
Chang, S.F.[Shih-Fu],
Radhakrishnan, R.[Regunathan],
Bauer, C.[Claus],
Compact hashing with joint optimization of search accuracy and time,
CVPR11(753-760).
IEEE DOI
1106
Finding approximate nearest neighborhoods. Large scale search.
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
System Issues, Data Structures .