Detail of Publication

Text Language	English
Authors	Masakazu Iwamura, Tomokazu Sato and Koichi Kise
Title	What Is the Most Efficient Way to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search?
Journal	Proc. 14th International Conference on Computer Vision (ICCV 2013)
Pages	pp.3535-3542
Location	Sydney, Australia
Reviewed or not	Reviewed
Presentation type	Poster
Month & Year	December 2013
DOI	10.1109/ICCV.2013.439

• Note
  
  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
• Following files are available.
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)
• Entry for BibTeX

  @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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