메뉴 건너뛰기




Volumn 103, Issue 2, 2013, Pages 213-225

Inference methods for CRFs with Co-occurrence statistics

Author keywords

Conditional random fields; Object class segmentation; Optimization

Indexed keywords

CO-OCCURRENCE STATISTICS; COMPUTATIONAL COSTS; CONDITIONAL RANDOM FIELD; CONDITIONAL RANDOM FIELDS(CRFS); INFERENCE METHODS; LOCAL INTERACTIONS; OBJECT CLASS; RANDOM FIELDS;

EID: 84878691091     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-012-0583-y     Document Type: Article
Times cited : (45)

References (43)
  • 1
    • 36148998705 scopus 로고    scopus 로고
    • An exact primal - Dual penalty method approach to warmstarting interior-point methods for linear programming
    • Benson, H. Y.;& Shanno, D. F. (2007). An exact primal - dual penalty method approach to warmstarting interior-point methods for linear programming. Computational Optimization and Applications, 38(3), 371-399.
    • (2007) Computational Optimization and Applications , vol.38 , Issue.3 , pp. 371-399
    • Benson H., .Y.1    Shanno D., .F.2
  • 13
    • 1842545358 scopus 로고    scopus 로고
    • Approximation algorithms for classification problems with pairwise relationships: Metric labeling and markov random fields
    • Kleinberg, J.;& Tardos, E. (2002). Approximation algorithms for classification problems with pairwise relationships: Metric labeling and markov random fields. Journal of the ACM, 49(5), 616-639.
    • (2002) Journal of the ACM , vol.49 , Issue.5 , pp. 616-639
    • Kleinberg, J.1    Tardos, E.2
  • 16
    • 33745826319 scopus 로고    scopus 로고
    • Comparison of energy minimization algorithms for highly connected graphs
    • Heidelberg: Springer
    • Kolmogorov, V.;& Rother, C. (2006). Comparison of energy minimization algorithms for highly connected graphs. In Proceedings of European Conference on Computer Vision (pp. 1-15). Heidelberg: Springer.
    • (2006) Proceedings of European Conference on Computer Vision , pp. 1-15
    • Kolmogorov, V.1    Rother, C.2
  • 24
    • 80053291910 scopus 로고    scopus 로고
    • A submodular-supermodular procedure with applications to discriminative structure learning
    • Narasimhan, M.;& Bilmes, J. A. (2005). A submodular-supermodular procedure with applications to discriminative structure learning. In Uncertainty in Artificial Intelligence (pp. 404-412).
    • (2005) Uncertainty in Artificial Intelligence , pp. 404-412
    • Narasimhan, M.1    Bilmes J., .A.2
  • 26
    • 51849138567 scopus 로고    scopus 로고
    • Mid-level cues improve boundary detection
    • EECS Department, University of California, Berkeley
    • Ren, X.; Fowlkes, C.;& Malik, J. (2005). Mid-level cues improve boundary detection. Tech. Rep. UCB/CSD-05-1382, EECS Department, University of California, Berkeley.
    • (2005) Tech. Rep. UCB/CSD-05-1382
    • Ren, X.1    Fowlkes, C.2    Malik, J.3
  • 30
    • 33947143988 scopus 로고
    • Syntactic analysis of two-dimensional visual signals in noisy conditions
    • (in Russian)
    • Schlesinger, M. (1976). Syntactic analysis of two-dimensional visual signals in noisy conditions. Kibernetika, 4, 113-130. (in Russian).
    • (1976) Kibernetika , vol.4 , pp. 113-130
    • Schlesinger, M.1
  • 31
    • 39449092723 scopus 로고    scopus 로고
    • Learning with kernels: Support vector machines, regularization, optimization, and beyond
    • Cambridge, MA: MIT Press
    • Schölkopf, B.;& Smola, A. J. (2001). Learning with kernels: support vector machines, regularization, optimization, and beyond. Adoptive Computation& Machine Learning. Cambridge, MA: MIT Press.
    • (2001) Adoptive Computation& Machine Learning
    • Schölkopf, B.1    Smola A., .J.2
  • 32
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • Shi, J.;& Malik, J. (2000). Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell, 22(8), 888-905.
    • (2000) IEEE Trans Pattern Anal Mach Intell , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 33
    • 33745824267 scopus 로고    scopus 로고
    • TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
    • Shotton, J.; Winn, J.; Rother, C.;& Criminisi, A. (2006). TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. In European Conference on Computer Vision (Vol. 1, pp 1-15).
    • (2006) European Conference on Computer Vision , vol.1 , pp. 1-15
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 41
    • 0035246323 scopus 로고    scopus 로고
    • On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs
    • Weiss, Y.;& Freeman, W. (2001). On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs. IEEE Transactions on Information Theory, 47(2), 723-735.
    • (2001) IEEE Transactions on Information Theory , vol.47 , Issue.2 , pp. 723-735
    • Weiss, Y.1    Freeman, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.