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Volumn , Issue , 2011, Pages 493-497

Continuous CRF with multi-scale quantization feature functions application to structure extraction in old newspaper

Author keywords

document images labelling; L CRF; quantization feature functions

Indexed keywords

DATA REPRESENTATIONS; DISCRETE DATA; DISCRIMINATIVE FEATURES; FEATURE FUNCTION; L-CRF; MULTISCALES; NUMERICAL FEATURES; OLD NEWSPAPERS; STRUCTURE EXTRACTION; SYMBOLIC REPRESENTATION;

EID: 82355182487     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2011.105     Document Type: Conference Paper
Times cited : (13)

References (11)
  • 3
    • 82355184246 scopus 로고    scopus 로고
    • Model-guided segmentation and layout labelling of document images using a hierarchical conditional random field
    • S. Chaudhury, M. Jindal1 and S. Dutta Roy Model-guided segmentation and layout labelling of document images using a hierarchical conditional random field, Proc. PReMI '09. Berlin, Germany, 2009.
    • Proc. PReMI '09. Berlin, Germany, 2009
    • Chaudhury, S.1    Jindal, M.2    Dutta Roy, S.3
  • 8
    • 70349235088 scopus 로고    scopus 로고
    • Large scale quasi-Newton and partially separable optimization
    • Chapter 9. Springer
    • J. Nocedal and S. J. Wright Large scale quasi-Newton and partially separable optimization, in "Numerical Optimization", Chapter 9. Springer, 2006.
    • (2006) Numerical Optimization
    • Nocedal, J.1    Wright, S.J.2
  • 11
    • 33750936781 scopus 로고    scopus 로고
    • Exploring the use of conditional random field models and HMMs for historical handwritten document recognition
    • S. Feng, R. Manmatha, and A. McCallum Exploring the use of conditional random field models and HMMs for historical handwritten document recognition, DIAL. Washington, DC, USA, 2006.
    • DIAL. Washington, DC, USA, 2006
    • Feng, S.1    Manmatha, R.2    McCallum, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.