Document logical structure analysis based on perceptive cycles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3872 LNCS, Issue , 2006, Pages 117-128

  Rangoni, Yves ^a   Belaïd, Abdel ^a  

^a LORIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; FORMAL LOGIC; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; NEURAL NETWORKS; SET THEORY;

DOCUMENT STRUCTURES; PERCEPTIVE CYCLES; TRANSPARENT NEURAL NETWORK (TNN);

DATA STRUCTURES;

EID: 33745579989     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11669487_11     Document Type: Conference Paper

References (8)

1. Mao, S., Rosenfelda, A., Kanungo, T.: Document structure analysis algorithms: A literature survey. SPIE Electronic Imaging (2003)
2. Nagy, G.: Twenty years of document image analysis in pami. PAMI (2000)
3. Guyon, I., Elisseeff, A.: An introduction to variable and feature extraction. Journal of Machine Learning Research (2003)
4. Rangoni, Y., Belaid, A.: Data categorization for a context return applied to logical document structure recognition. ICDAR (2005)
5. Cattell, R.: The scree test for the number of factors. Multivariate Behavioral Research (1966)
6. Zwick, W.R., Velicer, W.F.: Comparison of five rules for determining the number of components to retain. Psychological Bulletin (1986)
7. LeCun, Y.: (http://yann.lecun.com/exdb/mnist/)
8. Siggraph: http://www.siggraph.org/s2003/. (2003)