Computer Applications and Software, Volume. 42, Issue 4, 295(2025)
DEEP HASH NETWORK FOR TIME SERIES SIMILARITY DETECTION
[1] [1] Dau H, Bagnall A, Kamgar K, et al. The UCR time series archive[J]. IEEE/CAA Journal of Automatica Sinica, 2019, 6(6): 1293-1305.
[2] [2] Keogh E, Ratanamahatana C. Exact indexing of dynamic time warping[J]. Knowledge and Information Systems, 2005, 7(3): 358-386.
[3] [3] Bentley J. Multidimensional binary search trees used for associative searching[J]. Communications of the ACM, 1975, 18(9): 509-517.
[5] [5] Abdi H, Williams L. Principal component analysis[J]. Wiley Interdisciplinary Reviews: Computational Statistics, 2010, 2 (4): 433-459.
[6] [6] Zhigljavsky A A. Singular spectrum analysis for time series: Introduction to this special issue[J]. Statistics and its Interface, 2010, 3(3): 255-258.
[7] [7] Xu Y, Huang Q, Wang W, et al. Unsupervised feature learning based on deep models for environmental audio tagging[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017, 25(6): 1230-1241.
[8] [8] Hochreiter S, Schmidhuber J. Long short-term memory[J]. Neural Computation, 1997, 9(8): 1735-1780.
[9] [9] Lyu X, Hueser M, Hyland S, et al. Improving clinical predictions through unsupervised time series representation learning[EB]. arXiv: 1812.00490, 2018.
[10] [10] Madiraju N, Sadat S, Fisher D, et al. Deep temporal clustering: Fully unsupervised learning of time-domain features[EB]. arXiv: 1802.01059, 2018.
[11] [11] Zhu D, Song D, Chen Y, et al. Deep unsupervised binary coding networks for multivariate time series retrieval[C]//AAAI Conference on Artificial Intelligence, 2020: 1403-1411.
[12] [12] Chen T, Kornblith S, Norouzi M, et al. A simple framework for contrastive learning of visual representations[C]//37th International Conference on Machine Learning. ACM, 2020: 1597-1607.
[13] [13] Eldele E, Ragab M, Chen Z, et al. Time-series representation learning via temporal and contextual contrasting[EB]. arXiv: 2106.14112, 2021.
[15] [15] Datar M, Immorlica N, Indyk P, et al. Locality-sensitive hashing scheme based on p-stable distributions[C]//20th Annual Symposium On Computational Geometry. ACM, 2004: 253-262.
[16] [16] Gong Y, Lazebnik S, Gordo A, et al. Iterative quantization: A procrustean approach to learning binary codes for largescale image retrieval[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 35(12): 2916-2929.
[17] [17] Lin K, Lu J, Chen C, et al. Learning compact binary descriptors with unsupervised deep neural networks[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2016: 1183-1192.
[18] [18] Cao Z, Long M, Wang J, et al. Hashnet: Deep learning to hash by continuation[C]//2017 IEEE International Conference on Computer Vision. IEEE, 2017: 5609-5618.
[19] [19] Hu D, Nie F, Li X. Deep binary reconstruction for crossmodal hashing[J]. IEEE Transactions on Multimedia, 2018, 21(4): 973-985.
[20] [20] Rakthanmanon T, Campana B, Mueen A, et al. Searching and mining trillions of time series subsequences under dynamic time warping[C]//18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2012: 262-270.
[22] [22] Liu W, Anguelov D, Erhan D, et al. SSD: Single shot multibox detector[C]//European Conference on Computer Vision. Springer, 2016: 21-37.
[23] [23] Kingma D, Ba J. Adam: A method for stochastic optimization[EB]. arXiv: 1412.6980, 2014.
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Li Xuan, Xu Minyang, Zhou Xiangdong. DEEP HASH NETWORK FOR TIME SERIES SIMILARITY DETECTION[J]. Computer Applications and Software, 2025, 42(4): 295
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Received: Jan. 17, 2022
Accepted: Aug. 25, 2025
Published Online: Aug. 25, 2025
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