메뉴 건너뛰기




Volumn 6835 LNCS, Issue , 2011, Pages 111-121

Putting MAP back on the map

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL RANDOM FIELD; IMAGE DE-NOISING; IMAGE STATISTICS; LEARNING TECHNIQUES; MAXIMUM MARGIN; POTENTIAL FUNCTION; PREDICTION METHODS;

EID: 80053040837     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23123-0_12     Document Type: Conference Paper
Times cited : (4)

References (22)
  • 1
    • 0000582521 scopus 로고
    • Statistical analysis of non-lattice data
    • Besag, J.: Statistical analysis of non-lattice data. The Statistician (1975)
    • (1975) The Statistician
    • Besag, J.1
  • 2
    • 0035509961 scopus 로고    scopus 로고
    • Fast approximate energy minimization via graph cuts
    • Boykov, Y.: Fast approximate energy minimization via graph cuts. PAMI (2001)
    • (2001) PAMI
    • Boykov, Y.1
  • 3
    • 34547760736 scopus 로고    scopus 로고
    • Image denoising by sparse 3-D transform-domain collaborative filtering
    • Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: Image denoising by sparse 3-D transform-domain collaborative filtering. IEEE TIP 16(8), 2080-2095 (2007)
    • (2007) IEEE TIP , vol.16 , Issue.8 , pp. 2080-2095
    • Dabov, K.1    Foi, A.2    Katkovnik, V.3    Egiazarian, K.4
  • 4
    • 77955422240 scopus 로고    scopus 로고
    • Object detection with discriminatively trained part-based models
    • Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. PAMI 32(9), 1627-1645 (2010)
    • (2010) PAMI , vol.32 , Issue.9 , pp. 1627-1645
    • Felzenszwalb, P.F.1    Girshick, R.B.2    McAllester, D.3    Ramanan, D.4
  • 6
    • 33750129298 scopus 로고    scopus 로고
    • Convergent tree-reweighted message passing for energy minimization
    • Kolmogorov, V.: Convergent tree-reweighted message passing for energy minimization. PAMI 28(10) (2006)
    • (2006) PAMI , vol.28 , Issue.10
    • Kolmogorov, V.1
  • 7
    • 33646590894 scopus 로고    scopus 로고
    • Discriminative Random Fields
    • Kumar, S., Hebert, M.: Discriminative Random Fields. IJCV 68(2), 179-201 (2006)
    • (2006) IJCV , vol.68 , Issue.2 , pp. 179-201
    • Kumar, S.1    Hebert, M.2
  • 8
    • 77953225585 scopus 로고    scopus 로고
    • Associative hierarchical CRFs for object class image segmentation
    • Ladicky, L., Russell, C., Kohli, P., Torr, P.H.S.: Associative hierarchical CRFs for object class image segmentation. In: ICCV 2009 (2009)
    • (2009) ICCV 2009
    • Ladicky, L.1    Russell, C.2    Kohli, P.3    Torr, P.H.S.4
  • 9
    • 76749107542 scopus 로고    scopus 로고
    • Online Learning for Matrix Factorization and Sparse Coding
    • Mairal, J., Bach, F., Ponce, J., Sapiro, G.: Online Learning for Matrix Factorization and Sparse Coding. JMLR 11, 19-60 (2010)
    • (2010) JMLR , vol.11 , pp. 19-60
    • Mairal, J.1    Bach, F.2    Ponce, J.3    Sapiro, G.4
  • 11
    • 78149309521 scopus 로고    scopus 로고
    • On parameter learning in CRF-based approaches to object class image segmentation
    • Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. Springer, Heidelberg
    • Nowozin, S., Gehler, P.V., Lampert, C.H.: On parameter learning in CRF-based approaches to object class image segmentation. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6316, pp. 98-111. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6316 , pp. 98-111
    • Nowozin, S.1    Gehler, P.V.2    Lampert, C.H.3
  • 14
    • 12844262766 scopus 로고    scopus 로고
    • GrabCut Interactive Foreground Extraction using Iterated Graph Cuts
    • Rother, C., Kolomogorov, V., Blake, A.: GrabCut Interactive Foreground Extraction using Iterated Graph Cuts. TOG 23(3), 309-314 (2004)
    • (2004) TOG , vol.23 , Issue.3 , pp. 309-314
    • Rother, C.1    Kolomogorov, V.2    Blake, A.3
  • 16
    • 70450207702 scopus 로고    scopus 로고
    • Learning Optimized MAP Estimates in Continuously-Valued MRF Models
    • Samuel, K.G.G., Tappen, M.F.: Learning Optimized MAP Estimates in Continuously-Valued MRF Models. In: CVPR 2009 (2009)
    • (2009) CVPR 2009
    • Samuel, K.G.G.1    Tappen, M.F.2
  • 17
    • 34948831560 scopus 로고    scopus 로고
    • Learning Conditional Random Fields for Stereo
    • Scharstein, D.: Learning Conditional Random Fields for Stereo. In: CVPR 2007 (2007)
    • (2007) CVPR 2007
    • Scharstein, D.1
  • 18
    • 77955989583 scopus 로고    scopus 로고
    • A Generative Perspective on MRFs in Low-Level Vision
    • Schmidt, U., Gao, Q., Roth, S.: A Generative Perspective on MRFs in Low-Level Vision. In: CVPR 2010 (2010)
    • (2010) CVPR 2010
    • Schmidt, U.1    Gao, Q.2    Roth, S.3
  • 19
    • 14344253870 scopus 로고    scopus 로고
    • Max-Margin Markov Networks
    • Taskar, Guestrin, Koller: Max-Margin Markov Networks. In: NIPS 2003 (2003)
    • (2003) NIPS 2003
    • Taskar1    Guestrin2    Koller3
  • 20
    • 0002644952 scopus 로고
    • Maximum-likelihood estimation of misspecified models
    • White, H.: Maximum-likelihood estimation of misspecified models. Econom. (1982)
    • (1982) Econom
    • White, H.1
  • 21
    • 77953223384 scopus 로고    scopus 로고
    • A Global Perspective on MAP Inference for Low-Level Vision
    • Woodford, O.J., Rother, C., Kolmogorov, V.: A Global Perspective on MAP Inference for Low-Level Vision. In: ICCV 2009 (2009)
    • (2009) ICCV 2009
    • Woodford, O.J.1    Rother, C.2    Kolmogorov, V.3
  • 22
    • 0031270256 scopus 로고    scopus 로고
    • Prior learning and Gibbs reaction-diffusion
    • Zhu, S., Mumford, D.: Prior learning and Gibbs reaction-diffusion. In: PAMI 1997 (1997)
    • (1997) PAMI 1997
    • Zhu, S.1    Mumford, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.