Citation: | GONG Dahan, CHU Chaoqun, CHEN Kai, et al., “Balanced Hashing,” Chinese Journal of Electronics, vol. 28, no. 6, pp. 1204-1209, 2019, doi: 10.1049/cje.2019.08.003 |
A. Andoni and P. Indyk, "Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions", FOCS'06, 2006.
|
Y. Guo, G. Ding, X. Jin, et al., "Learning predictable and discriminative attributes for visual recognition", AAAI Conference on Artificial Intelligence, pp.3783-3789, 2015.
|
B. Kulis and K. Grauman, "Kernelized locality-sensitive hashing for scalable image search", IEEE International Conference on Computer Vision, Vol.9, pp.2130-2137, 2009.
|
D. Zhang, J. Wang, D. Cai, et al., "Self-taught hashing for fast similarity search", Proceeding of the International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.18-25, 2010.
|
Y. Weiss, A. Torralba and R. Fergus, "Spectral hashing", in Advances in Neural Information Processing Systems, pp.1753-1760, 2009.
|
R. Salakhutdinov and G. Hinton, "Semantic hashing", IJAR, Vol.50, No.7, pp.969-978, 2009.
|
J. Wang, S. Kumar and S.-F. Chang, "Semi-supervised hashing for scalable image retrieval", IEEE Conf. on Computer Vision and Pattern Recognition, pp.3424-3431, 2010.
|
W. Liu, J. Wang, S. Kumar, et al., "Hashing with graphs", International Conference on Machine Learning, pp.1-8, 2011.
|
G. Ding, Y. Guo and J. Zhou, "Collective matrix factorization hashing for multimodal data", IEEE Conf. on Computer Vision and Pattern Recognition, pp.2075-2082, 2014.
|
Y. Gong and S. Lazebnik, "Iterative quantization:A procrustean approach to learning binary codes", IEEE Conference on Computer Vision and Pattern Recognition, pp.817-824, 2011.
|
W. Kong and W.-J. Li, "Double-bit quantization for hashing", AAAI Conf. on Artificial Intelligence, pp.634-640, 2012.
|
Y. Guo, G. Ding, L. Liu, et al., "Learning to hash with optimized anchor embedding for scalable retrieval", IEEE Trans. Image Processing, Vol.26, No.3, pp.1344-1354, 2017.
|
Z. Li and J. Tang, "Weakly supervised deep matrix factorization for social image understanding", IEEE Trans. Image Processing, Vol.26, No.1, pp.276-288, 2017.
|
J. Tang, Z. Li, M. Wang, et al., "Neighborhood discriminant hashing for large-scale image retrieval", IEEE Trans. Image Processing, Vol.24, No.9, pp.2827-2840, 2015.
|
Z. Li and J. Tang, "Weakly supervised deep metric learning for community-contributed image retrieval", IEEE Trans. Multimedia, Vol.17, No.11, pp.1989-1999, 2015.
|
Y. Guo, G. Ding and J. Han, "Robust quantization for general similarity search", IEEE Trans. Image Processing, Vol.27, No.2, pp.949-963, 2018.
|
G. Ding, Y. Guo, J. Zhou, et al., "Large-scale cross-modality search via collective matrix factorization hashing", IEEE Trans. Image Processing, Vol.25, No.11, pp.5427-5440, 2016.
|
Y. Guo, G. Ding, J. Han, et al., "Zero-shot learning with transferred samples", IEEE Trans. Image Processing, Vol.26, No.7, pp.3277-3290, 2017.
|
W. Kong and W.-J. Li, "Isotropic hashing", in Advances in Neural Information Processing Systems, pp.1646-1654, 2012.
|
B. Xu, J. Bu, Y. Lin, et al., "Harmonious hashing", in International Joint Conference on Artificial Intelligence, pp.1820-1826, 2013.
|
K. Zhao, H. Lu and J. Mei, "Locality preserving hashing", AAAI Conf. on Artificial Intelligence, pp.2874-2880, 2014.
|
D. Cai, X. He, J. Han, et al., "Graph regularized nonnegative matrix factorization for data representation", IEEE Trans. Pattern Anal. Mach. Intell., Vol.33, No.8, pp.1548-1560, 2011.
|
S. Kumar and R. Udupa, "Learning hash functions for crossview similarity search", International Joint Conference on Artificial Intelligence, pp.1360-1365, 2011.
|
D. Zhang, F. Wang and L. Si, "Composite hashing with multiple information sources", Proceeding of the International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.225-234, 2011.
|
S. Kim, Y. Kang and S. Choi, "Sequential spectral learning to hash with multiple representations", European Conference on Computer Vision. Springer, pp.538-551, 2012.
|
J. Song, Y. Yang, Y. Yang, et al., "Intermedia hashing for large-scale retrieval from heterogeneous data sources", in ICMD. ACM, pp.785-796, 2013.
|
K. Zhao, D. Liu and H. Lu, "Local linear spectral hashing", in Neural Information Processing ICONIP, pp.283-290, 2013.
|
L. Chen, D. Xu, I. W. Tsang, et al., "Spectral embedded hashing for scalable image retrieval", IEEE T. Cybernetics, Vol.44, No.7, pp.1180-1190, 2014.
|
K. He, F. Wen and J. Sun, "K-means hashing:An affinitypreserving quantization method for learning binary compact codes", IEEE Conference on Computer Vision and Pattern Recognition, pp.2938-2945, 2013.
|
H. Jegou, M. Douze, C. Schmid, et al., "Aggregating local descriptors into a compact image representation", IEEE Conference on Computer Vision and Pattern Recognition, pp.3304-3311, 2010.
|
Z. Wen and W. Yin, "A feasible method for optimization with orthogonality constraints", Math. Program., Vol.142, No.1-2, pp.397-434, 2013.
|
J. Nocedal and S. Wright, Numerical Optimization, Springer Science & Business Media, 1999.
|
Y. Yang, H. T. Shen, Z. Ma, et al., "ℓ2,1-norm regularized discriminative feature selection for unsupervised learning", in International Joint Conference on Artificial Intelligence, pp.1589-1594, 2011.
|
A. Krizhevsky, "Learning multiple layers of features from tiny images", Tech Report, Univ. of Toronto, 2009.
|
A. Oliva and T. Torralba, "Modeling the shape of the scene:A holistic representation of the spatial envelope", IJCV, Vol.42, No.3, pp.145-175, 2001.
|
G. Griffin, A. Hulob and P. Perona, "Caltech-256 object category dataset", Tech Report, Caltech, 2007.
|
J. Wang, J. Yang, K. Yu, et al., "Locality-constrained linear coding for image classification", The IEEE Conf. on Computer Vision and Pattern Recognition, pp.3360-3367, 2010.
|
D. G. Lowe, "Distinctive image features from scale-invariant keypoints", IJCV, Vol.60, No.2, pp.91-110, 2004.
|
T. Chua, J. Tang, R. Hong, et al., "NUS-WIDE:A real-world web image database from national university of singapore", in Proceedings of the ACM CIVR, Page 48, 2009.
|
J. Zhou, G. Ding and Y. Guo, "Latent semantic sparse hashing for cross-modal similarity search", Proceeding of the International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.415-424, 2014.
|
Y. Zhen and D.-Y. Yeung, "Co-regularized hashing for multimodal data", in Advances in Neural Information Processing Systems, pp.1376-1384, 2012.
|
Y. Zhen and D. Yeung, "A probabilistic model for multimodal hash function learning", the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.940-948, 2012.
|