메뉴 건너뛰기




Volumn , Issue , 2014, Pages 1532-1537

Deep embedding network for clustering

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDINGS; LEARNING SYSTEMS; PATTERN RECOGNITION;

EID: 84919933352     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2014.272     Document Type: Conference Paper
Times cited : (243)

References (30)
  • 1
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G. E. Hinton and S. Osindero, "A fast learning algorithm for deep belief nets," Neural Computation, 2006.
    • (2006) Neural Computation
    • Hinton, G.E.1    Osindero, S.2
  • 2
    • 71149119164 scopus 로고    scopus 로고
    • Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
    • H. Lee, R. Grosse, R. Ranganath, and A. Ng, "Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations," International Conference on Machine Learning, 2009.
    • (2009) International Conference on Machine Learning
    • Lee, H.1    Grosse, R.2    Ranganath, R.3    Ng, A.4
  • 5
  • 7
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • U. Von Luxburg, "A tutorial on spectral clustering," Statistics and Computing, vol. 17, no. 4, pp. 395-416, 2007.
    • (2007) Statistics and Computing , vol.17 , Issue.4 , pp. 395-416
    • Von Luxburg, U.1
  • 9
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," Science, 2006.
    • (2006) Science
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 15
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • G. E. Hinton, "Training products of experts by minimizing contrastive divergence," Neural Computation, 2002.
    • (2002) Neural Computation
    • Hinton, G.E.1
  • 17
    • 34547997615 scopus 로고    scopus 로고
    • Learning a non-linear embedding by preserving class neighbourhood structure
    • R. Salakhutdinov and G. Hinton, "Learning a non-linear embedding by preserving class neighbourhood structure," AI and Statistics, 2007.
    • (2007) AI and Statistics
    • Salakhutdinov, R.1    Hinton, G.2
  • 19
    • 84887042736 scopus 로고    scopus 로고
    • Using very deep autoencoders for content-based image retrieval
    • A. Krizhevsky and G. E. Hinton, "Using very deep autoencoders for content-based image retrieval." in ESANN. Citeseer, 2011.
    • (2011) ESANN. Citeseer
    • Krizhevsky, A.1    Hinton, G.E.2
  • 21
    • 0043278893 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
    • M. Belkin and P. Niyogi, "Laplacian eigenmaps and spectral techniques for embedding and clustering." in Advances in Neural Information Processing Systems, vol. 14, 2001, pp. 585-591.
    • (2001) Advances in Neural Information Processing Systems , vol.14 , pp. 585-591
    • Belkin, M.1    Niyogi, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.