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J-GLOBAL ID:201802257768020633   Reference number:18A0656549

An FPGA Realization of a Random Forest with k-Means Clustering Using a High-Level Synthesis Design

高位合成設計を用いたk-MeansクラスタリングによるランダムフォレストのFPGA実装
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Volume: E101.D  Issue:Page: 354-362(J-STAGE)  Publication year: 2018 
JST Material Number: U0469A  ISSN: 1745-1361  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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General  ,  Digital computer systems in general  ,  Digital computer hardwares in general 
Reference (24):
  • [1] M.S. Abdelfattah, A. Hagiescu, and D. Singh, “Gzip on a chip: high performance lossless data compression on FPGAs using OpenCL,” Int'l Workshop on OpenCL 2013 and 2014 (IWOCL), no.4, 2014. 10.1145/2664666.2664670
  • [2] Y. Amit and D. Geman, “Shape quantization and recognition with randomized trees,” Neural Computation, vol.9, no.7. Oct. pp.1545-1588, 1997. 10.1162/neco.1997.9.7.1545
  • [3] D. Arthur and S. Vassilvitskii, “k-means++: The advantages of careful seeding,” Proc. eighteenth annual ACM-SIAM symposium on Discrete algorithms, Society for Industrial and Applied Mathematics, pp.1027-1035, 2007.
  • [4] T. Becker, Q. Liu, W. Luk, G. Nebehay, and R. Pflugfelder, “Hardware-accelerated object racking,” Computer Vision on Low-Power Reconfigurable Architectures Workshop, pp.1-2, 2011.
  • [5] L. Breiman, “Random forests,” Machine learning, vol.45, no.1, pp.5-32, 2001. 10.1023/a:1010933404324
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