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Volumn 7359 LNCS, Issue , 2012, Pages 296-306

Registration for correlative microscopy using image analogies

Author keywords

[No Author keywords available]

Indexed keywords

BACKSCATTERED ELECTRONS; BIOLOGICAL SPECIMENS; BIOLOGICAL STRUCTURES; HIGH RESOLUTION; IMAGE ANALOGY; IMAGE APPEARANCE; IMAGE TRAINING; IMAGING MODALITY; MICROSCOPY IMAGES; REGISTRATION METHODS; SIMILARITY MEASURE; SPARSE REPRESENTATION; TRANSMISSION ELECTRON MICROSCOPY TEM;

EID: 84864020544     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31340-0_31     Document Type: Conference Paper
Times cited : (16)

References (11)
  • 6
    • 59749104367 scopus 로고    scopus 로고
    • From sparse solutions of systems of equations to sparse modeling of signals and images
    • Bruckstein, A.M., Donoho, D.L., Elad, M.: From sparse solutions of systems of equations to sparse modeling of signals and images. SIAM Review 51(1), 34-81 (2009)
    • (2009) SIAM Review , vol.51 , Issue.1 , pp. 34-81
    • Bruckstein, A.M.1    Donoho, D.L.2    Elad, M.3
  • 8
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Machine Learning 3(1), 1-123 (2010)
    • (2010) Machine Learning , vol.3 , Issue.1 , pp. 1-123
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 10
    • 80052334094 scopus 로고    scopus 로고
    • A Compressed Sensing Approach for MR Tissue Contrast Synthesis
    • Székely, G., Hahn, H.K. (eds.) IPMI 2011. Springer, Heidelberg
    • Roy, S., Carass, A., Prince, J.: A Compressed Sensing Approach for MR Tissue Contrast Synthesis. In: Székely, G., Hahn, H.K. (eds.) IPMI 2011. LNCS, vol. 6801, pp. 371-383. Springer, Heidelberg (2011)
    • (2011) LNCS , vol.6801 , pp. 371-383
    • Roy, S.1    Carass, A.2    Prince, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.