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Volumn , Issue , 2007, Pages

Efficient optimization for L∞-problems using pseudoconvexity

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; IMAGE PROCESSING; PROBLEM SOLVING;

EID: 50649114435     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4409087     Document Type: Conference Paper
Times cited : (39)

References (13)
  • 7
    • 33745911320 scopus 로고    scopus 로고
    • Quasiconvex optimization for robust geometric reconstruction
    • Beijing, China
    • Q. Ke and T. Kanade. Quasiconvex optimization for robust geometric reconstruction. In International Conference on Computer Vision, pages 986-993. Beijing, China, 2005.
    • (2005) International Conference on Computer Vision , pp. 986-993
    • Ke, Q.1    Kanade, T.2
  • 8
    • 33845574441 scopus 로고    scopus 로고
    • Uncertainty models in quasiconvex optimization for geometric reconstruction
    • New York City, USA
    • Q. Ke and T. Kanade. Uncertainty models in quasiconvex optimization for geometric reconstruction. In Proc. Conf. Computer Vision and Pattern Recognition, pages 1199-1205. New York City, USA, 2006.
    • (2006) Proc. Conf. Computer Vision and Pattern Recognition , pp. 1199-1205
    • Ke, Q.1    Kanade, T.2
  • 12
    • 50649086100 scopus 로고    scopus 로고
    • J. F. Sturm. Using sedumi 1.02, a matlab toolbox for optimization over symmetric cones. 1998.
    • J. F. Sturm. Using sedumi 1.02, a matlab toolbox for optimization over symmetric cones. 1998.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.