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Volumn 2, Issue , 2001, Pages 1064-1068

Globally convergent ordered subsets algorithms: Application to tomography

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COMPUTERIZED TOMOGRAPHY; GLOBAL OPTIMIZATION; IMAGE RECONSTRUCTION; MAXIMUM LIKELIHOOD ESTIMATION; POSITRON EMISSION TOMOGRAPHY; SET THEORY; STATISTICAL METHODS;

EID: 0035554385     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (18)
  • 15
    • 0031285678 scopus 로고    scopus 로고
    • A new class of incremental gradient methods for least squares problems
    • Nov.
    • (1997) SIAM J. Optim. , vol.7 , Issue.4 , pp. 913-926
    • Bertsekas, D.P.1
  • 16
    • 4244036137 scopus 로고    scopus 로고
    • Globally convergent ordered subsets algorithms for emission tomography
    • in preparation
    • Ahn, S.1    Fessler, J.A.2
  • 18
    • 0029267626 scopus 로고
    • A modified expectation maximization algorithm for penalized likelihood estimation in emission tomography
    • Mar.
    • (1995) IEEE Tr. Med. Im. , vol.14 , Issue.1 , pp. 132-137
    • De Pierro, A.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.