19.4.2.1.2 Hashing for Large Scale Systems, Web-Scale System

Chapter Contents (Back)
Image Database. Hashing. Web Scale Database. Internet Scale Database. Representation. Retrieval Mechanism.

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., Li, Y., Wang, S.,
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


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

Do, T.T., Tan, D.K.L., Pham, T.T., Cheung, N.M.,
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

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-Ruz, 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 .


Last update:Aug 20, 2019 at 20:38:45