IS = { zkontrolovano 29 May 2014 },
  UPDATE   = { 2014-10-27 },
  key =         {Stria-Prusa-Hlavac-CVWW-2014},
  author =      {Stria, Jan and Pr{\accent23 u}{\v s}a, Daniel and Hlav{\'a}{\v c}, V{\' a}clav},
  title =       {Combining Structural and Statistical Approach to Online Recognition of 
Handwritten Mathematical Formulas},
  c_title =     {Kombinace statistick{\'e}ho a strukturn{\'\i}ho online rozpozn{\'a}v{\'a
}n{\'\i} ru{\v c}n{\v e} psan{\'y}ch matematick{\'y}ch formul{\'\i}},
  year =        {2014},
  pages =       {103-109},
  booktitle =   {CVWW2014: Proceedings of the 19th Computer Vision Winter Workshop},
  e_booktitle = {CVWW2014: Proceedings of the 19th Computer Vision Winter Workshop},
  editor =      {K{\'u}kelov{\'a}, Zuzana and Heller, Jan},
  publisher =   {Czech Society for Cybernetics and Informatics},
  address =     {Pod Vod{\'a}renskou v{\v e}{\v z}{\'\i} 4, 182 00, Prague, Czech Repu
  isbn =        {978-80-260-5641-6},
  book_pages =  {127},
  month =       {February},
  day =         {3-5},
  venue =       {K{\v{r}}tiny, Czech Republic},
  organization ={Czech Society for Cybernetics and Informatics, Center of Machine Percep
tion at CTU in Prague},
  annote   = { This paper introduces a novel method for on-line
                  recognition of handwriten mathematical formulas. The
                  method is based on the combination of a structural
                  analysis with a statistical model specifying
                  relations of individual symbols. A description of
                  all recognition phases is given, focusing mostly on
                  the structural analysis stage. The recognition
                  process following a bottom-up manner is driven by a
                  spatial grammar, which expresses mathematical
                  formulas unambiguously. As the grammar describes the
                  relative positions only roughly, a statistical model
                  learned from a database of annotated formulas is
                  employed to refine the description. Several
                  experimental results are also reported. },
  keywords =    {mathematical formulas, handwriting recognition, document analysis, structural and statistical recognition},
  prestige =    {international},
  authorship =  {50-40-10},
  project =     {FP7-288553 CloPeMa, SGS13/205/OHK3/3T/13, GACR P202/10/1333},
  psurl =       {[Stria-Prusa-Hlavac-CVWW-2014.pdf]},
  www =         {http://cmp.felk.cvut.cz/cvww2014},
affiliation = { 13133-13133-NULL },