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],
Li, H.Q.[Hou-Qiang],
Scalable Bag of Selected Deep Features for Visual Instance Retrieval,
MMMod18(II:239-251).
Springer DOI
1802
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.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
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-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 .