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Volumn , Issue , 2013, Pages 847-856

Efficient learning on point sets

Author keywords

collective data; efficient; fast; image classification; kmeans; large scale; point set

Indexed keywords


EID: 84894677741     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2013.59     Document Type: Conference Paper
Times cited : (3)

References (36)
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    • Zhou, Z.1
  • 16
  • 18
    • 65749108082 scopus 로고    scopus 로고
    • Divergence estimation for multidimensional densities via k-nearest-neighbor distances
    • Q. Wang, S. R. Kulkarni, and S. Verdú, "Divergence estimation for multidimensional densities via k-nearest-neighbor distances," IEEE Trans. on Information Theory, vol. 55, 2009.
    • (2009) IEEE Trans. on Information Theory , vol.55
    • Wang, Q.1    Kulkarni, S.R.2    Verdú, S.3
  • 25
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    • A kernel approach for vector quantization with guaranteed distortion bounds
    • M. E. Tipping and B. Schölkopf, "A kernel approach for vector quantization with guaranteed distortion bounds," in AI and Statistics (AISTATS), 2001.
    • (2001) AI and Statistics (AISTATS)
    • Tipping, M.E.1    Schölkopf, B.2
  • 33
    • 0035328421 scopus 로고    scopus 로고
    • Modmodel the shape of the scene: A holistic representation of spatial envelope
    • A. Oliva and A. Torralba, "Modmodel the shape of the scene: a holistic representation of spatial envelope," International Journal of Computer Vision (IJCV), vol. 42, 2001.
    • (2001) International Journal of Computer Vision (IJCV) , vol.42
    • Oliva, A.1    Torralba, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.