文献の詳細

論文の言語	英語
著者	Masakazu Iwamura, Tomokazu Sato and Koichi Kise
論文名	What Is the Most Efficient Way to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search?
論文誌名	Proc. 14th International Conference on Computer Vision (ICCV 2013)
ページ	pp.3535-3542
発表場所	Sydney, Australia
査読の有無	有
発表の種類	ポスター発表
年月	2013年12月
DOI	10.1109/ICCV.2013.439

• 注記
  
  1. C and P in Table 1 are typos for c and p, respectively.
  2. Experimental result of the following paper [a] that shows BDH was worse than IMI is theoretically wrong because BDH is a generalization of IMI and never gets worse than IMI.
     [a] Heo, J.-P.; Lin, Z.; Shen, X.; Brandt, J. & Yoon, S.-E.
     Shortlist Selection with Residual-Aware Distance Estimator for K-Nearest Neighbor Search
     Proc. CVPR, IEEE, 2016, pp.2009-2017
• 次のファイルが利用可能です．
1. 2839d535.pdf (932.5KB)
2. Cover.png (19.8KB)
3. MIRU2014_invited_BDH2014.7.28_rev.pptx (2.6MB)
4. poster.pdf (16.8MB)
• BibTeX用エントリー

  @InProceedings{Iwamura2013,
    author =	{Masakazu Iwamura and Tomokazu Sato and Koichi Kise},
    title =	{What Is the Most Efficient Way to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search?},
    booktitle =	{Proc. 14th International Conference on Computer Vision (ICCV 2013)},
    year =	2013,
    month =	dec,
    pages =	{3535--3542},
    DOI =		{10.1109/ICCV.2013.439},
    location =	{Sydney, Australia}
  }
  
  
  

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