127 search results - page 3 / 26 » Learning Non-Generative Grammatical Models for Document Anal... |
EP
1998
Springer
13 years 9 months ago
1998
Springer
This paper deals with the representation of document models used in the field of document recognition. A novel formalism called generalized n-gram is presented, which is shown to b...
ICDAR
2009
IEEE
13 years 3 months ago
2009
IEEE
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
ICDAR
2009
IEEE
14 years 5 days ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
COLING
2002
13 years 5 months ago
2002
We present a comparative evaluation of two data-driven models used in translation selection of English-Korean machine translation. Latent semantic analysis(LSA) and probabilistic ...
ICDAR
2007
IEEE
13 years 11 months ago
2007
IEEE
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...