Machine learning approaches to text segmentation

Scientia Iranica

Volumn 13, Issue 4, 2006, Pages 395-403

  Haji, M M ^a   Katebi, S D ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE COSINE TRANSFORMS; IMAGE SEGMENTATION; STATISTICAL METHODS; TEXT PROCESSING; TREES (MATHEMATICS); WAVELET TRANSFORMS;

NAIVE BAYES TECHNIQUE; TEXT IMAGE DOCUMENTS; TEXT SEGMENTATION;

LEARNING SYSTEMS;

DISCRETE COSINE TRANSFORMS; IMAGE SEGMENTATION; LEARNING SYSTEMS; STATISTICAL METHODS; TEXT PROCESSING; TREES (MATHEMATICS); WAVELET TRANSFORMS;

DECISION ANALYSIS; WAVELET ANALYSIS;

EID: 33847255473     PISSN: 10263098     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Tang, Y.Y., Lee, S.W. and Suen. S.Y. "Automatic document processing, a survey", Pattern Recognition, 29(12), pp 1931-1952 (1996).
2. Konstantinides, K. and Tretter, D. "A JPEG variable quantization method for compound documents", IEEE Transactions on Image Processing, 9(7) (July 2000).
3. Tan, R.C.L., Yuan, B., Huang, W. and Zang, Z. "Text/graphics separation using pyramid operations", in Proc. Int. Conf. Document Analysis and Recognition (IEEE Press, 1999), pp 169-172 (1999).
4. Du, L.J. "Texture segmentation of sar images using localized spatial filtering", in Proc. Int. Geoscience and Remote Sensing Symposium, pp 1983-1986 (1990).
5. Ramos, M.G. and de Queiroz, R.L. "Classified JPEG coding of mixed document images for printing", IEEE Trans. Image Processing (2000).
6. Jain, A.K. and Bhattacharjee, S. "Text segmentation using Gabor filters for automatic document processing", Machine Vision Appl., 5, pp 169-184 (1992).
7. Bhanu, B. and Peng, J. "Adaptive integrated image segmentation and object recognition", IEEE Transaction on Man. Sys. and Cyber. Part C: Application and Reviews, 30(4) (Nov. 2000).
8. Deng, S. and Latifi, S., Fast Text Segmentation Using Wavelet for Document Processing, Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, USA (2000).
9. Porter, R. and Canagarajah, N. "A robust automatic clustering scheme for image segmentation using wavelets", IEEE Trans. on Image Processing, 5(4), pp 662-665 (April 1996).
10. Yoon, S.C., Ratakonda, K. and Ahuja, N. "Low bit-rate video coding with implicit multi scale segmentation", IEEE Trans. on Circuits and Systems for Video Technology, 9(7), pp 1115-1129 (Oct. 1999).
11. Tu, Z. and Zhu, S.C. "Image segmentation by data driven Markov chain Monte Carlo", IEEE Trans. PAMI, 24(5) (2002).
12. Hyeokho, Choi and Baraniuk, R.G. "Multiscale image segmentation using wavelet-domain hidden Markov models", IEEE Trans on Image Processing, 10(9), p 1309 (Sept. 2001).
13. C4.5: Programs for Machine Learning, San Mateo, CA, USA, Morgan Kaufmann.
14. Mitchell, T., Machine Learning, McGraw Hill (1997).
15. David, J.C., Mackay Information Theory, Inference and Learning Algorithms, Cambridge University Press (2003).
16. Heckerman, D. and Horvitz, E. "Inferring informational goals from free-text queries: A Bayesian approach", Decision Theory & Adaptive Systems Group, Microsoft Research, Microsoft Corp. Redmond, WA, USA, http://research.microsoft.com/research/dtg/horvitz/aw.htm (1998)
17. Stewart, H. and Masjedizadeh, N., Bayesian Search, NASA, Ames Research Genter, http://ic.arc.nasa.gov/ic/projects/bayes-search.html (1998).
18. Cestnik, B. "Estimating probabilities: A crucial task in machine learning", Proc. of Ninth Conf. on Artificial Intelligence, London, Pitman (1990).