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Volumn 31, Issue 7 PART2, 2012, Pages 2241-2248

Semi-supervised mesh segmentation and labeling

Author keywords

[No Author keywords available]

Indexed keywords

ENTROPY; IMAGE SEGMENTATION; RANDOM PROCESSES; SEMANTICS;

EID: 84879808999     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2012.03217.x     Document Type: Article
Times cited : (51)

References (23)
  • 5
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting (with discussion and a rejoinder by the authors)
    • FRIEDMAN J., HASTIE T., TIBSHIRANI R.: Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors). The annals of statistics 28, 2 (2000), 337-407.
    • (2000) The Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 6
    • 84898928156 scopus 로고    scopus 로고
    • Semi-supervised learning by entropy minimization
    • GRANDVALET Y., BENGIO Y.: Semi-supervised learning by entropy minimization. In NIPS'04 (2004), pp. -1-1.
    • (2004) NIPS'04 , pp. 1-1
    • Grandvalet, Y.1    Bengio, Y.2
  • 11
    • 84880885580 scopus 로고    scopus 로고
    • Training conditional random fields using virtual evidence boosting
    • LIAO L., CHOUDHURY T., FOX D., KAUTZ H.: Training conditional random fields using virtual evidence boosting. In IJCAI (2007), vol. 35.
    • IJCAI (2007) , vol.35
    • Liao, L.1    Choudhury, T.2    Fox, D.3    Kautz, H.4
  • 12
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • LAFFERTY J., MCCALLUM A., PEREIRA F.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. of ICML (2001).
    • (2001) Proc. of ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 13
    • 85054673111 scopus 로고    scopus 로고
    • Fast and scalable training of semi-supervised crfs with application to activity recognition
    • MAHDAVIANI M., CHOUDHURY T.: Fast and scalable training of semi-supervised crfs with application to activity recognition. NIPS 20 (2007), 977-984.
    • (2007) NIPS 20 , pp. 977-984
    • Mahdaviani, M.1    Choudhury, T.2
  • 14
    • 0002425879 scopus 로고    scopus 로고
    • Loopy belief propagation for approximate inference: An empirical study
    • Morgan Kaufmann Publishers Inc.
    • MURPHY K., WEISS Y., JORDAN M.: Loopy belief propagation for approximate inference: An empirical study. In UAI (1999), Morgan Kaufmann Publishers Inc., pp. 467-475.
    • UAI (1999) , pp. 467-475
    • Murphy, K.1    Weiss, Y.2    Jordan, M.3
  • 15
    • 84879831892 scopus 로고    scopus 로고
    • Understanding virtual evidence boosting : A new derivation and application to recognizing spatial context with wearable cameras
    • OBERLIES T.: Understanding virtual evidence boosting : A new derivation and application to recognizing spatial context with wearable cameras. Graphical Models (2007).
    • (2007) Graphical Models
    • Oberlies, T.1
  • 17
    • 42949092365 scopus 로고    scopus 로고
    • A survey on mesh segmentation techniques
    • SHAMIR A.: A survey on mesh segmentation techniques. Computer Graphics Forum 27, 6 (2008), 1539-1556.
    • (2008) Computer Graphics Forum , vol.27 , Issue.6 , pp. 1539-1556
    • Shamir, A.1
  • 20
    • 58149151266 scopus 로고    scopus 로고
    • Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
    • Jan.
    • SHOTTON J., WINN J., ROTHER C., CRIMINISI A.: Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context. Int. J. Comput. Vision 81, 1 (Jan. 2009), 2-23.
    • (2009) Int. J. Comput. Vision , vol.81 , Issue.1 , pp. 2-23
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 22
    • 84863116061 scopus 로고    scopus 로고
    • A multimedia retrieval framework based on semi-supervised ranking and relevance feedback
    • Apr.
    • YANG Y., NIE F., XU D., LUO J., ZHUANG Y., PAN Y.: A multimedia retrieval framework based on semi-supervised ranking and relevance feedback. IEEE Trans. Pattern Anal. Mach. Intell. 34, 4 (Apr. 2012), 723-742.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.4 , pp. 723-742
    • Yang, Y.1    Nie, F.2    Xu, D.3    Luo, J.4    Zhuang, Y.5    Pan, Y.6
  • 23
    • 33745456231 scopus 로고    scopus 로고
    • Semi-supervised learning literature survey
    • ZHU X.: Semi-supervised learning literature survey. SciencesNew York 10, 1530 (2007), 1-59.
    • (2007) SciencesNew York , vol.10 , Issue.1530 , pp. 1-59
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.