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ACM, 277\u2013286","author":"Jacobs C."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Q-Y. Jiang and W-J. Li. 2018. Asymmetric Deep Supervised Hashing. In AAAI.  Q-Y. Jiang and W-J. Li. 2018. Asymmetric Deep Supervised Hashing. In AAAI.","DOI":"10.1109\/TIP.2018.2864894"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Karen\u00a0Sparck Jones. 1972. A statistical interpretation of term specificity and its application in retrieval. Journal of documentation(1972).  Karen\u00a0Sparck Jones. 1972. A statistical interpretation of term specificity and its application in retrieval. Journal of documentation(1972).","DOI":"10.1108\/eb026526"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"F. Khelifi and A. Bouridane. 2017. Perceptual Video Hashing for Content Identification and Authentication. IEEE TCSVT 1 29 (2017).  F. Khelifi and A. Bouridane. 2017. Perceptual Video Hashing for Content Identification and Authentication. IEEE TCSVT 1 29 (2017).","DOI":"10.1109\/TCSVT.2017.2776159"},{"key":"e_1_3_2_1_33_1","volume-title":"Proc. NIPS.","author":"Krizhevsky A."},{"key":"e_1_3_2_1_34_1","volume-title":"Proc. Advances in Neural Information Processing Systems (NIPS).","author":"Lee H.","year":"2009"},{"key":"e_1_3_2_1_35_1","unstructured":"J. Lee J. Park K.\u00a0L. Kim and J. Nam. 2017. Sample-level deep convolutional neural networks for music auto-tagging using raw waveforms. arXiv preprint arXiv:1703.01789(2017).  J. Lee J. Park K.\u00a0L. Kim and J. Nam. 2017. Sample-level deep convolutional neural networks for music auto-tagging using raw waveforms. arXiv preprint arXiv:1703.01789(2017)."},{"key":"e_1_3_2_1_36_1","volume-title":"Soviet physics doklady, Vol.\u00a010","author":"I"},{"key":"e_1_3_2_1_37_1","volume-title":"Proc. NeurIPS. 2482\u20132491","author":"Li Q."},{"key":"e_1_3_2_1_38_1","volume-title":"Proc. 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