===== Graph Transformer Networks for Image Recognition =====

//Abstract//:
This contribution takes the example of a check reading system 
to discuss the modeling and estimation issues associated 
with large scale pattern recognition systems.

<box 99% orange>
Léon Bottou and Yann LeCun: **Graph Transformer Networks for Image Recognition**,  //Bulletin of the International Statistical Institute (ISI)//, 2005.

[[http://leon.bottou.org/publications/djvu/isi-2005.djvu|isi-2005.djvu]]
[[http://leon.bottou.org/publications/pdf/isi-2005.pdf|isi-2005.pdf]]
[[http://leon.bottou.org/publications/psgz/isi-2005.ps.gz|isi-2005.ps.gz]]
</box>

  @article{bottou-lecun-2005,
    author = {Bottou, L\'{e}on and {LeCun}, Yann},
    title = {Graph Transformer Networks for Image Recognition},
    journal = {Bulletin of the International Statistical Institute (ISI)},
    year = {2005},
    note = {55th Session},
    url = {http://leon.bottou.org/papers/bottou-lecun-2005},
  }


==== Notes ====

This short paper takes material from [[bottou-97|(Bottou et al., 1997)]] 
and [[lecun-98h|(Lecun et al., 1998)]] and discusses the modular
construction of large scale learning systems.  
It also shows the relation between this work and recent works
on [[http://www.cis.upenn.edu/~pereira/papers/crf.pdf|Conditional Random Fields]] [1].

  *  **[1]** John Lafferty, Fernando Pereira, Andrew McCallum: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. //Proceedings of the International Conference on Machine Learning (ICML'01)//, 2001.