@INPROCEEDINGS{MK10,
  AUTHOR =       {Iveta Mrázová and Marek Kukačka},
  TITLE =        {Image Classification with GHNN-Networks},
  BOOKTITLE =    {Proceedings of ICMV 2010 (International Konference on Machina Vision)},
  YEAR =         {2010},
  PAGES =        {223-227}
  ABSTRACT =     {Future multi-media technologies are expected to support efficient 
                  on-line processing of huge amounts of high-dimensional data 
                  without any special pre-processing. In this paper, we introduce 
                  a new model of the so-called Growing Hierarchical Neural Networks 
                  (GHNN) applicable to image classification without requiring 
                  advanced domain-specific feature extraction techniques. Dynamic 
                  data-dependent adjustment of both the number and position of the 
                  neurons is, moreover, supposed to improve generalization. 
                  Experimental results obtained so far for two case studies on face 
                  and hand-written digit recognition show that local features detected 
                  automatically by the network impact a transparent and compact 
                  representation of the extracted knowledge.},
}