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Volumn , Issue , 2015, Pages 195-202

Latent factors of visual popularity prediction

Author keywords

Latent model; Twitter; Visual popularity

Indexed keywords


EID: 84962463443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2671188.2749405     Document Type: Conference Paper
Times cited : (64)

References (20)
  • 1
    • 84894567325 scopus 로고    scopus 로고
    • Good practice in large-scale learning for image classification
    • Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid. Good practice in large-scale learning for image classification. IEEE Trans. PAMI, 36(3):507-520, 2014.
    • (2014) IEEE Trans. PAMI , vol.36 , Issue.3 , pp. 507-520
    • Akata, Z.1    Perronnin, F.2    Harchaoui, Z.3    Schmid, C.4
  • 2
    • 84887499660 scopus 로고    scopus 로고
    • Large-scale visual sentiment ontology and detectors using adjective noun pairs
    • D. Borth, R. Ji, T. Chen, T. Breuel, and S.-F. Chang. Large-scale visual sentiment ontology and detectors using adjective noun pairs. In MM, 2013.
    • (2013) MM
    • Borth, D.1    Ji, R.2    Chen, T.3    Breuel, T.4    Chang, S.-F.5
  • 3
    • 84889584229 scopus 로고    scopus 로고
    • Predicting retweet count using visual cues
    • E. F. Can, H. Oktay, and R. Manmatha. Predicting retweet count using visual cues. In CIKM, 2013.
    • (2013) CIKM
    • Can, E.F.1    Oktay, H.2    Manmatha, R.3
  • 6
    • 77955422240 scopus 로고    scopus 로고
    • Object detection with discriminatively trained part based models
    • P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. IEEE Trans. PAMI, 32(9):1627-1645, 2010.
    • (2010) IEEE Trans. PAMI , vol.32 , Issue.9 , pp. 1627-1645
    • Felzenszwalb, P.1    Girshick, R.2    McAllester, D.3    Ramanan, D.4
  • 8
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • T. Joachims. Optimizing search engines using clickthrough data. In SIGKDD, 2002.
    • (2002) SIGKDD
    • Joachims, T.1
  • 10
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 11
    • 84986596323 scopus 로고    scopus 로고
    • Overview of the trec2013 microblog track
    • J. Lin and M. Efron. Overview of the trec2013 microblog track. In TREC, 2013.
    • (2013) TREC
    • Lin, J.1    Efron, M.2
  • 12
    • 84894902403 scopus 로고    scopus 로고
    • Joint image and word sense discrimination for image retrieval
    • A. Lucchi and J. Weston. Joint image and word sense discrimination for image retrieval. In ECCV, 2012.
    • (2012) ECCV
    • Lucchi, A.1    Weston, J.2
  • 13
    • 77952328425 scopus 로고    scopus 로고
    • New trends and ideas in visual concept detection: The MIR flickr retrieval evaluation initiative
    • B. T. Mark J. Huiskes and M. S. Lew. New trends and ideas in visual concept detection: The mir flickr retrieval evaluation initiative. In ICMR, 2010.
    • (2010) ICMR
    • Mark, B.T.1    Huiskes, J.2    Lew, M.S.3
  • 15
    • 84899727825 scopus 로고    scopus 로고
    • Nobody comes here anymore, it's too crowded; predicting image popularity on flickr
    • P. J. McParlane, Y. Moshfeghi, and J. M. Jose. Nobody comes here anymore, it's too crowded; predicting image popularity on flickr. In ICMR, 2014.
    • (2014) ICMR
    • McParlane, P.J.1    Moshfeghi, Y.2    Jose, J.M.3
  • 16
    • 84884582871 scopus 로고    scopus 로고
    • Distance-based image classification: Generalizing to new classes at near-zero cost
    • T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka. Distance-based image classification: Generalizing to new classes at near-zero cost. IEEE Trans. PAMI, 2013.
    • (2013) IEEE Trans. PAMI
    • Mensink, T.1    Verbeek, J.2    Perronnin, F.3    Csurka, G.4
  • 17
    • 0002965815 scopus 로고
    • The proof and measurement of association between two things
    • C. Spearman. The proof and measurement of association between two things. The American Journal of Psychology, 15(1):72-101, 1904.
    • (1904) The American Journal of Psychology , vol.15 , Issue.1 , pp. 72-101
    • Spearman, C.1
  • 18
    • 77955233534 scopus 로고    scopus 로고
    • Predicting the popularity of online content
    • G. Szabo and B. A. Huberman. Predicting the popularity of online content. Comm. ACM, 53(8):80-88, 2010.
    • (2010) Comm. ACM , vol.53 , Issue.8 , pp. 80-88
    • Szabo, G.1    Huberman, B.A.2
  • 19
    • 74549158300 scopus 로고    scopus 로고
    • Predicting the volume of comments on online news stories
    • M. Tsagkias, W. Weerkamp, and M. De Rijke. Predicting the volume of comments on online news stories. In CIKM, 2009.
    • (2009) CIKM
    • Tsagkias, M.1    Weerkamp, W.2    De Rijke, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.