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Yamanishi, \u201cA Unifying Framework for Detecting Outliers and Change Points from Time Series,\u201d IEEE Trans. Knowl. Data Eng., vol.18, no.4, pp.482-492, 2006. 10.1109\/tkde.2006.1599387","DOI":"10.1109\/TKDE.2006.1599387"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] T. Iwata, K. Nakamura, Y. Tokusashi, and H. Matsutani, \u201cAccelerating Online Change-Point Detection Algorithm using 10 GbE FPGA NIC,\u201d Proc. International European Conference on Parallel and Distributed Computing (Euro-Par&apos;18) Workshops, vol.11339, pp.506-517, Aug. 2018. 10.1007\/978-3-030-10549-5_40","DOI":"10.1007\/978-3-030-10549-5_40"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] Y. Urabe, K. Yamanishi, R. Tomioka, and H. Iwai, \u201cReal-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding,\u201d Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD&apos;11), vol.6635, pp.185-197, May 2011. 10.1007\/978-3-642-20847-8_16","DOI":"10.1007\/978-3-642-20847-8_16"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] Y. Kawahara and M. Sugiyama, \u201cChange-Point Detection in Time-Series Data by Direct Density-Ratio Estimation,\u201d Proc. SIAM International Conference on Data Mining (SDM&apos;09), pp.389-400, April 2009. 10.1137\/1.9781611972795.34","DOI":"10.1137\/1.9781611972795.34"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] K. Yamanishi and J. Takeuchi, \u201cA Unifying Framework for Detecting Outliers and Change Points from Non-Stationary Time Series Data,\u201d Proc. International Conference on Knowledge Discovery and Data Mining (KDD&apos;02), pp.676-681, July 2002. 10.1145\/775047.775148","DOI":"10.1145\/775047.775148"},{"key":"9","unstructured":"[9] F. Saaid, D. Nur, and R. 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Matsutani, \u201cA Line Rate Outlier Filtering FPGA NIC using 10GbE Interface,\u201d ACM SIGARCH Computer Architecture News, vol.43, no.4, pp.22-27, Sept. 2015. 10.1145\/2927964.2927969","DOI":"10.1145\/2927964.2927969"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] A. Hayashi and H. Matsutani, \u201cAn FPGA-Based In-NIC Cache Approach for Lazy Learning Outlier Filtering,\u201d Proc. International Conference on Parallel, Distributed, and Network-Based Processing (PDP&apos;17), pp.15-22, March 2017. 10.1109\/pdp.2017.48","DOI":"10.1109\/PDP.2017.48"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] Y. Pu, J. Peng, L. Huang, and J. Chen, \u201cAn Efficient KNN Algorithm Implemented on FPGA Based Heterogeneous Computing System Using OpenCL,\u201d Proc. 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Prasanna, \u201cMulti-Stream Regular Expression Matching on FPGA,\u201d Proc. International Conference on Reconfigurable Computing and FPGAs (ReConFig&apos;11), pp.86-91, Nov. 2011. 10.1109\/reconfig.2011.63","DOI":"10.1109\/ReConFig.2011.63"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] Y. Qu, Y.-H.E. Yang, and V.K. Prasanna, \u201cLarge-Scale Multi-Flow Regular Expression Matching on FPGA,\u201d Proc. International Conference on High Performance Switching and Routing (HPSR&apos;12), pp.70-75, June 2012. 10.1109\/hpsr.2012.6260830","DOI":"10.1109\/HPSR.2012.6260830"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] N. Zilberman, Y. Audzevich, G.A. Covington, and A.W. 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