-
1
-
-
0031644241
-
Approximate nearest neighbors: towards removing the curse of dimensionality
-
ACM
-
Indyk, P., Motwani, R., Approximate nearest neighbors: towards removing the curse of dimensionality. Proceedings of ACM Symposium on Theory of Computing, 1998, ACM, 604–613.
-
(1998)
Proceedings of ACM Symposium on Theory of Computing
, pp. 604-613
-
-
Indyk, P.1
Motwani, R.2
-
2
-
-
0001944742
-
Similarity search in high dimensions via hashing
-
Gionis, A., Indyk, P., Motwani, R., et al. Similarity search in high dimensions via hashing. Proceedings of International Conference on Very Large Data Bases, 1999, 518–529.
-
(1999)
Proceedings of International Conference on Very Large Data Bases
, pp. 518-529
-
-
Gionis, A.1
Indyk, P.2
Motwani, R.3
-
3
-
-
84952631532
-
Semi-supervised constraints preserving hashing
-
Wang, D., Gao, X., Wang, X., Semi-supervised constraints preserving hashing. Neurocomputing 167 (2015), 230–242.
-
(2015)
Neurocomputing
, vol.167
, pp. 230-242
-
-
Wang, D.1
Gao, X.2
Wang, X.3
-
4
-
-
85015290110
-
Large-scale cross-modality search via collective matrix factorization hashing
-
Ding, G., Guo, Y., Zhou, J., Gao, Y., Large-scale cross-modality search via collective matrix factorization hashing. IEEE Trans. Image Process. 25:11 (2016), 5427–5440.
-
(2016)
IEEE Trans. Image Process.
, vol.25
, Issue.11
, pp. 5427-5440
-
-
Ding, G.1
Guo, Y.2
Zhou, J.3
Gao, Y.4
-
5
-
-
85032613404
-
Cross-view retrieval via probability-based semantics-preserving hashing
-
Lin, Z., Ding, G., Han, J., Wang, J., Cross-view retrieval via probability-based semantics-preserving hashing. IEEE Trans. Cybern., 2016, 10.1109/TCYB.2016.2608906.
-
(2016)
IEEE Trans. Cybern.
-
-
Lin, Z.1
Ding, G.2
Han, J.3
Wang, J.4
-
6
-
-
77956027394
-
Self-taught hashing for fast similarity search
-
ACM
-
Zhang, D., Wang, J., Cai, D., Lu, J., Self-taught hashing for fast similarity search. Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010, ACM, 18–25.
-
(2010)
Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 18-25
-
-
Zhang, D.1
Wang, J.2
Cai, D.3
Lu, J.4
-
7
-
-
38749118638
-
Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
-
IEEE
-
Andoni, A., Indyk, P., Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Proceedings of Annual IEEE Symposium on Foundations of Computer Science, 2006, IEEE, 459–468.
-
(2006)
Proceedings of Annual IEEE Symposium on Foundations of Computer Science
, pp. 459-468
-
-
Andoni, A.1
Indyk, P.2
-
8
-
-
77953184849
-
Kernelized locality-sensitive hashing for scalable image search
-
IEEE
-
Kulis, B., Grauman, K., Kernelized locality-sensitive hashing for scalable image search. Proceedings of IEEE International Conference on Computer Vision, 2009, IEEE, 2130–2137.
-
(2009)
Proceedings of IEEE International Conference on Computer Vision
, pp. 2130-2137
-
-
Kulis, B.1
Grauman, K.2
-
9
-
-
84897985341
-
Semisupervised hashing via kernel hyperplane learning for scalable image search
-
Kan, M., Xu, D., Shan, S., Chen, X., Semisupervised hashing via kernel hyperplane learning for scalable image search. IEEE Trans. Circuits Syst. Video Technol. 24:4 (2014), 704–713.
-
(2014)
IEEE Trans. Circuits Syst. Video Technol.
, vol.24
, Issue.4
, pp. 704-713
-
-
Kan, M.1
Xu, D.2
Shan, S.3
Chen, X.4
-
10
-
-
0345414554
-
Fast pose estimation with parameter-sensitive hashing
-
IEEE
-
Shakhnarovich, G., Viola, P., Darrell, T., Fast pose estimation with parameter-sensitive hashing. Proceedings of IEEE International Conference on Computer Vision, 2003, IEEE, 750–757.
-
(2003)
Proceedings of IEEE International Conference on Computer Vision
, pp. 750-757
-
-
Shakhnarovich, G.1
Viola, P.2
Darrell, T.3
-
11
-
-
67449128732
-
Semantic hashing
-
Salakhutdinov, R., Hinton, G., Semantic hashing. Int. J. Approx. Reason. 50:7 (2009), 969–978.
-
(2009)
Int. J. Approx. Reason.
, vol.50
, Issue.7
, pp. 969-978
-
-
Salakhutdinov, R.1
Hinton, G.2
-
12
-
-
84858779327
-
Spectral hashing
-
Weiss, Y., Torralba, A., Fergus, R., Spectral hashing. Proceedings of Advances in Neural Information Processing Systems, 2009, 1753–1760.
-
(2009)
Proceedings of Advances in Neural Information Processing Systems
, pp. 1753-1760
-
-
Weiss, Y.1
Torralba, A.2
Fergus, R.3
-
13
-
-
84901625403
-
Linear spectral hashing
-
Bodó, Z., Csató, L., Linear spectral hashing. Neurocomputing 141 (2014), 117–123.
-
(2014)
Neurocomputing
, vol.141
, pp. 117-123
-
-
Bodó, Z.1
Csató, L.2
-
14
-
-
84866726818
-
Supervised hashing with kernels
-
IEEE
-
Liu, W., Wang, J., Ji, R., Jiang, Y.-G., Chang, S.-F., Supervised hashing with kernels. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2012, IEEE, 2074–2081.
-
(2012)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 2074-2081
-
-
Liu, W.1
Wang, J.2
Ji, R.3
Jiang, Y.-G.4
Chang, S.-F.5
-
15
-
-
81855191888
-
LDAHash: improved matching with smaller descriptors
-
Strecha, C., Bronstein, A., Bronstein, M., Fua, P., LDAHash: improved matching with smaller descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 34:1 (2012), 66–78.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.1
, pp. 66-78
-
-
Strecha, C.1
Bronstein, A.2
Bronstein, M.3
Fua, P.4
-
16
-
-
77955988108
-
Semi-supervised hashing for scalable image retrieval
-
IEEE
-
Wang, J., Kumar, S., Chang, S.-F., Semi-supervised hashing for scalable image retrieval. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2010, IEEE, 3424–3431.
-
(2010)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 3424-3431
-
-
Wang, J.1
Kumar, S.2
Chang, S.-F.3
-
17
-
-
84887359482
-
K-means hashing: an affinity-preserving quantization method for learning binary compact codes
-
IEEE
-
He, K., Wen, F., Sun, J., K-means hashing: an affinity-preserving quantization method for learning binary compact codes. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2013, IEEE, 2938–2945.
-
(2013)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 2938-2945
-
-
He, K.1
Wen, F.2
Sun, J.3
-
18
-
-
80052110460
-
Composite hashing with multiple information sources
-
ACM
-
Zhang, D., Wang, F., Si, L., Composite hashing with multiple information sources. Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011, ACM, 225–234.
-
(2011)
Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 225-234
-
-
Zhang, D.1
Wang, F.2
Si, L.3
-
19
-
-
84866034209
-
Learning hash functions for cross-view similarity search
-
AAAI Press
-
Kumar, S., Udupa, R., Learning hash functions for cross-view similarity search. Proceedings of International Joint Conference on Artificial Intelligence, 2011, AAAI Press, 1360–1365.
-
(2011)
Proceedings of International Joint Conference on Artificial Intelligence
, pp. 1360-1365
-
-
Kumar, S.1
Udupa, R.2
-
20
-
-
84867846122
-
Sequential spectral learning to hash with multiple representations
-
Springer
-
Kim, S., Kang, Y., Choi, S., Sequential spectral learning to hash with multiple representations. Proceedings of European Conference on Computer Vision, 2012, Springer, 538–551.
-
(2012)
Proceedings of European Conference on Computer Vision
, pp. 538-551
-
-
Kim, S.1
Kang, Y.2
Choi, S.3
-
21
-
-
77955989956
-
Data fusion through cross-modality metric learning using similarity-sensitive hashing
-
IEEE
-
Bronstein, M.M., Bronstein, A.M., Michel, F., Paragios, N., Data fusion through cross-modality metric learning using similarity-sensitive hashing. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2010, IEEE, 3594–3601.
-
(2010)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 3594-3601
-
-
Bronstein, M.M.1
Bronstein, A.M.2
Michel, F.3
Paragios, N.4
-
23
-
-
84880548516
-
Inter-media hashing for large-scale retrieval from heterogeneous data sources
-
ACM
-
Song, J., Yang, Y., Yang, Y., Huang, Z., Shen, H.T., Inter-media hashing for large-scale retrieval from heterogeneous data sources. Proceedings of ACM SIGMOD International Conference on Management of Data, 2013, ACM, 785–796.
-
(2013)
Proceedings of ACM SIGMOD International Conference on Management of Data
, pp. 785-796
-
-
Song, J.1
Yang, Y.2
Yang, Y.3
Huang, Z.4
Shen, H.T.5
-
24
-
-
84904546285
-
Latent semantic sparse hashing for cross-modal similarity search
-
ACM
-
Zhou, J., Ding, G., Guo, Y., Latent semantic sparse hashing for cross-modal similarity search. Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval, 2014, ACM, 415–424.
-
(2014)
Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 415-424
-
-
Zhou, J.1
Ding, G.2
Guo, Y.3
-
25
-
-
84897493967
-
Multimodal similarity-preserving hashing
-
Masci, J., Bronstein, M.M., Bronstein, A.M., Schmidhuber, J., Multimodal similarity-preserving hashing. IEEE Trans. Pattern Anal. Mach. Intell. 36:4 (2014), 824–830.
-
(2014)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.36
, Issue.4
, pp. 824-830
-
-
Masci, J.1
Bronstein, M.M.2
Bronstein, A.M.3
Schmidhuber, J.4
-
26
-
-
84875865475
-
Robust sparse hashing
-
IEEE
-
Cherian, A., Morellas, V., Papanikolopoulos, N., Robust sparse hashing. Proceedings of IEEE International Conference on Image Processing, 2012, IEEE, 2417–2420.
-
(2012)
Proceedings of IEEE International Conference on Image Processing
, pp. 2417-2420
-
-
Cherian, A.1
Morellas, V.2
Papanikolopoulos, N.3
-
27
-
-
84878612787
-
Sparse hashing for fast multimedia search
-
Zhu, X., Huang, Z., Cheng, H., Cui, J., Shen, H.T., Sparse hashing for fast multimedia search. ACM Trans. Inf. Syst., 31(2), 2013, 9.
-
(2013)
ACM Trans. Inf. Syst.
, vol.31
, Issue.2
, pp. 9
-
-
Zhu, X.1
Huang, Z.2
Cheng, H.3
Cui, J.4
Shen, H.T.5
-
28
-
-
84887346410
-
Compressed hashing
-
IEEE
-
Lin, Y., Jin, R., Cai, D., Yan, S., Li, X., Compressed hashing. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2013, IEEE, 446–451.
-
(2013)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 446-451
-
-
Lin, Y.1
Jin, R.2
Cai, D.3
Yan, S.4
Li, X.5
-
29
-
-
84893377154
-
Sparse multi-modal hashing
-
Wu, F., Yu, Z., Yang, Y., Tang, S., Zhang, Y., Zhuang, Y., Sparse multi-modal hashing. IEEE Trans. Multimed. 16:2 (2014), 427–439.
-
(2014)
IEEE Trans. Multimed.
, vol.16
, Issue.2
, pp. 427-439
-
-
Wu, F.1
Yu, Z.2
Yang, Y.3
Tang, S.4
Zhang, Y.5
Zhuang, Y.6
-
31
-
-
84867068830
-
Sparse unsupervised dimensionality reduction for multiple view data
-
Han, Y., Wu, F., Tao, D., Shao, J., Zhuang, Y., Jiang, J., Sparse unsupervised dimensionality reduction for multiple view data. IEEE Trans. Circuits Syst. Video Technol. 22:10 (2012), 1485–1496.
-
(2012)
IEEE Trans. Circuits Syst. Video Technol.
, vol.22
, Issue.10
, pp. 1485-1496
-
-
Han, Y.1
Wu, F.2
Tao, D.3
Shao, J.4
Zhuang, Y.5
Jiang, J.6
-
32
-
-
85015278389
-
Learning to hash with optimized anchor embedding for scalable retrieval
-
Guo, Y., Ding, G., Liu, L., Han, J., Shao, L., Learning to hash with optimized anchor embedding for scalable retrieval. IEEE Trans. Image Process. 26:3 (2017), 1344–1354.
-
(2017)
IEEE Trans. Image Process.
, vol.26
, Issue.3
, pp. 1344-1354
-
-
Guo, Y.1
Ding, G.2
Liu, L.3
Han, J.4
Shao, L.5
-
33
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
Olshausen, B.A., et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381 (1996), 607–609.
-
(1996)
Nature
, vol.381
, pp. 607-609
-
-
Olshausen, B.A.1
-
34
-
-
84956613866
-
Predicting discrete probability distribution of image emotions
-
IEEE
-
Zhao, S., Yao, H., Jiang, X., Sun, X., Predicting discrete probability distribution of image emotions. Proceedings of IEEE International Conference on Image Processing, 2015, IEEE, 2459–2463.
-
(2015)
Proceedings of IEEE International Conference on Image Processing
, pp. 2459-2463
-
-
Zhao, S.1
Yao, H.2
Jiang, X.3
Sun, X.4
-
35
-
-
84962839047
-
Predicting continuous probability distribution of image emotions in valence-arousal space
-
ACM
-
Zhao, S., Yao, H., Jiang, X., Predicting continuous probability distribution of image emotions in valence-arousal space. Proceedings of ACM International Conference on Multimedia, 2015, ACM, 879–882.
-
(2015)
Proceedings of ACM International Conference on Multimedia
, pp. 879-882
-
-
Zhao, S.1
Yao, H.2
Jiang, X.3
-
36
-
-
85013465865
-
Continuous probability distribution prediction of image emotions via multi-task shared sparse regression
-
Zhao, S., Yao, H., Gao, Y., Ji, R., Ding, G., Continuous probability distribution prediction of image emotions via multi-task shared sparse regression. IEEE Trans. Multimed. 19:3 (2017), 632–645.
-
(2017)
IEEE Trans. Multimed.
, vol.19
, Issue.3
, pp. 632-645
-
-
Zhao, S.1
Yao, H.2
Gao, Y.3
Ji, R.4
Ding, G.5
-
37
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
IEEE
-
Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., Gong, Y., Locality-constrained linear coding for image classification. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2010, IEEE, 3360–3367.
-
(2010)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 3360-3367
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.5
Gong, Y.6
-
39
-
-
84901954277
-
Image tag completion via dual-view linear sparse reconstructions
-
Lin, Z., Ding, G., Hu, M., Lin, Y., Ge, S.S., Image tag completion via dual-view linear sparse reconstructions. Comput. Vis. Image Underst. 124 (2014), 42–60.
-
(2014)
Comput. Vis. Image Underst.
, vol.124
, pp. 42-60
-
-
Lin, Z.1
Ding, G.2
Hu, M.3
Lin, Y.4
Ge, S.S.5
-
40
-
-
0030779611
-
Sparse coding with an overcomplete basis set: a strategy employed by v1?
-
Olshausen, B.A., Field, D.J., Sparse coding with an overcomplete basis set: a strategy employed by v1?. Vis. Res. 37:23 (1997), 3311–3325.
-
(1997)
Vis. Res.
, vol.37
, Issue.23
, pp. 3311-3325
-
-
Olshausen, B.A.1
Field, D.J.2
-
41
-
-
70450209196
-
Linear spatial pyramid matching using sparse coding for image classification
-
IEEE
-
Yang, J., Yu, K., Gong, Y., Huang, T., Linear spatial pyramid matching using sparse coding for image classification. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2009, IEEE, 1794–1801.
-
(2009)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1794-1801
-
-
Yang, J.1
Yu, K.2
Gong, Y.3
Huang, T.4
-
42
-
-
80052913149
-
Robust sparse coding for face recognition
-
IEEE
-
Yang, M., Zhang, L., Yang, J., Zhang, D., Robust sparse coding for face recognition. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2011, IEEE, 625–632.
-
(2011)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 625-632
-
-
Yang, M.1
Zhang, L.2
Yang, J.3
Zhang, D.4
-
43
-
-
33751379736
-
Image denoising via sparse and redundant representations over learned dictionaries
-
Elad, M., Aharon, M., Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans. Image Process. 15:12 (2006), 3736–3745.
-
(2006)
IEEE Trans. Image Process.
, vol.15
, Issue.12
, pp. 3736-3745
-
-
Elad, M.1
Aharon, M.2
-
44
-
-
39149089704
-
Sparse representation for color image restoration
-
Mairal, J., Elad, M., Sapiro, G., Sparse representation for color image restoration. IEEE Trans. Image Process. 17:1 (2008), 53–69.
-
(2008)
IEEE Trans. Image Process.
, vol.17
, Issue.1
, pp. 53-69
-
-
Mairal, J.1
Elad, M.2
Sapiro, G.3
-
45
-
-
84864036295
-
Efficient sparse coding algorithms
-
Lee, H., Battle, A., Raina, R., Ng, A., Efficient sparse coding algorithms. Proceedings of Advances in Neural Information Processing Systems, 2006, 801–808.
-
(2006)
Proceedings of Advances in Neural Information Processing Systems
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.4
-
46
-
-
14344249889
-
Feature selection, l 1 vs. l 2 regularization, and rotational invariance
-
ACM
-
Ng, A.Y., Feature selection, l 1 vs. l 2 regularization, and rotational invariance. Proceedings of International Conference on Machine Learning, 2004, ACM, 78.
-
(2004)
Proceedings of International Conference on Machine Learning
, pp. 78
-
-
Ng, A.Y.1
-
47
-
-
84863401481
-
Nonlinear learning using local coordinate coding
-
Yu, K., Zhang, T., Gong, Y., Nonlinear learning using local coordinate coding. Proceedings of Advances in Neural Information Processing Systems, 2009, 2223–2231.
-
(2009)
Proceedings of Advances in Neural Information Processing Systems
, pp. 2223-2231
-
-
Yu, K.1
Zhang, T.2
Gong, Y.3
-
48
-
-
84953943377
-
Multimodal deep autoencoder for human pose recovery
-
Hong, C., Yu, J., Wan, J., Tao, D., Wang, M., Multimodal deep autoencoder for human pose recovery. IEEE Trans. Image Process. 24:12 (2015), 5659–5670.
-
(2015)
IEEE Trans. Image Process.
, vol.24
, Issue.12
, pp. 5659-5670
-
-
Hong, C.1
Yu, J.2
Wan, J.3
Tao, D.4
Wang, M.5
-
49
-
-
77955994285
-
Local features are not lonely – Laplacian sparse coding for image classification
-
IEEE
-
Gao, S., Tsang, I.W., Chia, L.-T., Zhao, P., Local features are not lonely – Laplacian sparse coding for image classification. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2010, IEEE, 3555–3561.
-
(2010)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 3555-3561
-
-
Gao, S.1
Tsang, I.W.2
Chia, L.-T.3
Zhao, P.4
-
50
-
-
79955371363
-
Graph regularized sparse coding for image representation
-
Zheng, M., Bu, J., Chen, C., Wang, C., Zhang, L., Qiu, G., Cai, D., Graph regularized sparse coding for image representation. IEEE Trans. Image Process. 20:5 (2011), 1327–1336.
-
(2011)
IEEE Trans. Image Process.
, vol.20
, Issue.5
, pp. 1327-1336
-
-
Zheng, M.1
Bu, J.2
Chen, C.3
Wang, C.4
Zhang, L.5
Qiu, G.6
Cai, D.7
-
51
-
-
84959459355
-
Sparse-coded features for image retrieval
-
Ge, T., Ke, Q., Sun, J., Sparse-coded features for image retrieval. Proceedings of British Machine Vision Conference, 2013.
-
(2013)
Proceedings of British Machine Vision Conference
-
-
Ge, T.1
Ke, Q.2
Sun, J.3
-
52
-
-
84928252705
-
Compact structure hashing via sparse and similarity preserving embedding
-
Ye, R., Li, X., Compact structure hashing via sparse and similarity preserving embedding. IEEE Trans. Cybern. 46:3 (2016), 718–729.
-
(2016)
IEEE Trans. Cybern.
, vol.46
, Issue.3
, pp. 718-729
-
-
Ye, R.1
Li, X.2
-
54
-
-
80053456121
-
Hashing with graphs
-
Liu, W., Wang, J., Kumar, S., Chang, S.F., Hashing with graphs. Proceedings of International Conference on Machine Learning, 2011, 1–8.
-
(2011)
Proceedings of International Conference on Machine Learning
, pp. 1-8
-
-
Liu, W.1
Wang, J.2
Kumar, S.3
Chang, S.F.4
-
55
-
-
80052874105
-
Iterative quantization: a procrustean approach to learning binary codes
-
IEEE
-
Gong, Y., Lazebnik, S., Iterative quantization: a procrustean approach to learning binary codes. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2011, IEEE, 817–824.
-
(2011)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 817-824
-
-
Gong, Y.1
Lazebnik, S.2
-
58
-
-
84860192651
-
Semi-supervised regression using hessian energy with an application to semi-supervised dimensionality reduction
-
Kim, K.I., Steinke, F., Hein, M., Semi-supervised regression using hessian energy with an application to semi-supervised dimensionality reduction. Proceedings of Advances in Neural Information Processing Systems, 2009, 979–987.
-
(2009)
Proceedings of Advances in Neural Information Processing Systems
, pp. 979-987
-
-
Kim, K.I.1
Steinke, F.2
Hein, M.3
-
59
-
-
78649317568
-
Product quantization for nearest neighbor search
-
Jegou, H., Douze, M., Schmid, C., Product quantization for nearest neighbor search. IEEE Trans. Pattern Anal. Mach. Intell. 33:1 (2011), 117–128.
-
(2011)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.33
, Issue.1
, pp. 117-128
-
-
Jegou, H.1
Douze, M.2
Schmid, C.3
-
60
-
-
84989525001
-
Indexing by latent semantic analysis
-
Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R., Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci., 41(6), 1990, 391.
-
(1990)
J. Am. Soc. Inf. Sci.
, vol.41
, Issue.6
, pp. 391
-
-
Deerwester, S.1
Dumais, S.T.2
Furnas, G.W.3
Landauer, T.K.4
Harshman, R.5
-
61
-
-
84962338889
-
Robust and discriminative concept factorization for image representation
-
Guo, Y., Ding, G., Zhou, J., Liu, Q., Robust and discriminative concept factorization for image representation. Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015, 115–122.
-
(2015)
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval
, pp. 115-122
-
-
Guo, Y.1
Ding, G.2
Zhou, J.3
Liu, Q.4
-
64
-
-
0035328421
-
Modeling the shape of the scene: a holistic representation of the spatial envelope
-
Oliva, A., Torralba, A., Modeling the shape of the scene: a holistic representation of the spatial envelope. Int. J. Comput. Vis. 42:3 (2001), 145–175.
-
(2001)
Int. J. Comput. Vis.
, vol.42
, Issue.3
, pp. 145-175
-
-
Oliva, A.1
Torralba, A.2
-
65
-
-
74049158146
-
NUS-wide: a real-world web image database from National University of Singapore
-
ACM
-
Chua, T.-S., Tang, J., Hong, R., Li, H., Luo, Z., Zheng, Y., NUS-wide: a real-world web image database from National University of Singapore. Proceedings of ACM International Conference on Image and Video Retrieval, 2009, ACM, 48.
-
(2009)
Proceedings of ACM International Conference on Image and Video Retrieval
, pp. 48
-
-
Chua, T.-S.1
Tang, J.2
Hong, R.3
Li, H.4
Luo, Z.5
Zheng, Y.6
-
66
-
-
0141607824
-
Latent Dirichlet allocation
-
Blei, D.M., Ng, A.Y., Jordan, M.I., Latent Dirichlet allocation. J. Mach. Learn. Res. 3:Jan (2003), 993–1022.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, Issue.Jan
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
|