@InProceedings{Chum-CVPR12,
  IS = { zkontrolovano 14 Jan 2013 },
  UPDATE  = { 2012-12-27 },
  author =      {Chum, Ond{\v r}ej and Matas, Ji{\v r}{\' \i}},
  title =       {Fast Computation of min-Hash Signatures for Image Collections},
  year =        {2012},
  pages =       {3077-3084},
  booktitle =   {CVPR 2012: Proceedings of the 2012 IEEE Computer
                 Society Conference on Computer Vision and Pattern Recognition},
  publisher =   {IEEE Computer Society Press},
  address =     {New York, USA},
  isbn =        {978-1-4673-1228-8},
  issn =        {1063-6919},
  book_pages  = {3696},
  month =       {June},
  day =         {16-21},
  venue =       {Providence, USA},
  organization ={IEEE Computer Society},
  annote = {A new method for highly efficient min-Hash generation for
    document collections is proposed. It exploits the inverted file
    structure which is available in many applications based on a bag
    or a set of words. Fast min-Hash generation is important in
    applications such as image clustering where good recall and
    precision requires a large number of min-Hash signatures.},
  keywords =    {min-Hash, image clustering},
  prestige =    {important},
  authorship =  {50-50},
  project =     {GACR P103/12/2310, FP7-ICT-247022 MASH},
  psurl =       {cmp.felk.cvut.cz/~chum/papers/chum-cvpr12.pdf},
  ut_isi =      {000309166203031},
}