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Volumn 4172 LNCS, Issue , 2006, Pages 147-157

Design of a digital library for early 20th century medico-legal documents

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION ANALYSIS; LEARNING SYSTEMS; MARKOV PROCESSES; METADATA; SYSTEMS ANALYSIS;

EID: 33750258454     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11863878_13     Document Type: Conference Paper
Times cited : (4)

References (7)
  • 1
    • 84889366234 scopus 로고    scopus 로고
    • Public Law 59-384, repealed in 1938 by 21 U.S.C. Sec 329 (a). And U.S Food and Drug Administration, (3 Feb.)
    • Public Law 59-384, repealed in 1938 by 21 U.S.C. Sec 329 (a). And U.S Food and Drug Administration, "Federal Food and Drugs Act of 1906 (The "Wiley Act")," http://www.fda.gov/opacom/laws/wileyact.htm (3 Feb. 2006).
    • (2006) Federal Food and Drugs Act of 1906 (The "Wiley Act")
  • 2
    • 33646922357 scopus 로고    scopus 로고
    • Design strategies for a prototype electronic preservation system for biomedical documents
    • Washington DC
    • Mao S, Misra D, Seamans J, Thoma, G. R.: Design Strategies for a Prototype Electronic Preservation System for Biomedical Documents, Proc. IS&T Archiving Conference, Washington DC, pages 48-53, (2005).
    • (2005) Proc. IS&T Archiving Conference , pp. 48-53
    • Mao, S.1    Misra, D.2    Seamans, J.3    Thoma, G.R.4
  • 3
    • 84941156140 scopus 로고    scopus 로고
    • DSpace at MIT, http://www.dspace.org.
  • 5
    • 34249753618 scopus 로고
    • Support-vector network
    • Cortes C., Vapnik V.: Support-vector Network. Machine Learning. Vol. 20, pages 273-297, (1995)
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 7
    • 33750270358 scopus 로고    scopus 로고
    • Feature subset selection and classification using class syntax models for document logical entity recognition
    • Atlanta, GA, Submitted
    • Mao, S., Mansukhani, P., Thoma, G. R.: Feature Subset Selection and Classification using Class Syntax Models for Document Logical Entity Recognition. Proc. IEEE International Conference on Image Processing. Atlanta, GA, (2006). Submitted.
    • (2006) Proc. IEEE International Conference on Image Processing
    • Mao, S.1    Mansukhani, P.2    Thoma, G.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.