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Optimal decomposition of P2P networks based on file exchange patterns for multimedia content search & replication., , , и . Multimedia Information Retrieval, стр. 125-134. ACM, (2007)An adaptable neural-network model for recursive nonlinear traffic prediction and modeling of MPEG video sources., , и . IEEE Trans. Neural Networks, 14 (1): 150-166 (2003)Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation., , , , и . IEEE Access, (2019)A secure framework exploiting content guided and automated algorithms for real time video searching., , , , , , и . Multim. Tools Appl., 42 (3): 341 (2009)MI-MERCURY: A mobile agent architecture for ubiquitous retrieval and delivery of multimedia information., , , , , и . Multim. Tools Appl., 38 (1): 147-184 (2008)First ACM international workshop on analysis and retrieval of events, actions and workflows in video streams., , , , и . ACM Multimedia, стр. 1147-1148. ACM, (2008)Analysis and retrieval of events/actions and workflows in video streams., , , , и . Multimedia Tools Appl., 50 (1): 1-6 (2010)Unsupervised Clustering of Clickthrough Data for Automatic Annotation of Multimedia Content., , , и . ICANN (2), том 5769 из Lecture Notes in Computer Science, стр. 895-904. Springer, (2009)Non-linear 3D rendering workload prediction based on a combined fuzzy-neural network architecture for grid computing applications., и . ICIP (3), стр. 1069-1072. IEEE, (2003)Tube-embodied gradient vector flow fields for unsupervised video object plane (VOP) segmentation., , , и . ICIP (2), стр. 637-640. IEEE, (2001)