메뉴 건너뛰기




Volumn 227, Issue , 2007, Pages 959-966

Dirichlet aggregation: Unsupervised learning towards an optimal metric for proportional data

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; AD HOC NETWORKS; CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD; PARAMETERIZATION;

EID: 34547993972     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273617     Document Type: Conference Paper
Times cited : (9)

References (25)
  • 2
    • 33749240483 scopus 로고    scopus 로고
    • Correlated Topic Models
    • Blei, D. M. and Lafferty, J. D. (2006) Correlated Topic Models. In NIPS, volume 18.
    • (2006) NIPS , vol.18
    • Blei, D.M.1    Lafferty, J.D.2
  • 3
    • 33746365837 scopus 로고    scopus 로고
    • Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach
    • Bouguila, N. and Ziou, D. (2006) Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach. IEEE Transactions on Knowledge and Data Engineering. Vol.18, No.8.
    • (2006) IEEE Transactions on Knowledge and Data Engineering , vol.18 , Issue.8
    • Bouguila, N.1    Ziou, D.2
  • 7
    • 33749243771 scopus 로고    scopus 로고
    • Gehler, P. V., Holub, A. D., Welling, M. (2006) The Rate Adapting Possion Model for Information Retrieval and Object Recognition. In Proceedings of the 23rd ICML.
    • Gehler, P. V., Holub, A. D., Welling, M. (2006) The Rate Adapting Possion Model for Information Retrieval and Object Recognition. In Proceedings of the 23rd ICML.
  • 8
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised Learning by Probabilistic Latent Semantic Analysis
    • Hofmann, T. (2001) Unsupervised Learning by Probabilistic Latent Semantic Analysis. Machine Learning, 42, 177-196.
    • (2001) Machine Learning , vol.42 , pp. 177-196
    • Hofmann, T.1
  • 10
    • 85199278471 scopus 로고    scopus 로고
    • Fei-Fei, Fergus, R., Perona, P. (2004) Learning Generative Visual Models from Few Training Examples: an Incremental Bayesian Approach Tested on 101 Object Categories. IEEE. CVPR, Workshop on Generative-Model Based Vision.
    • Fei-Fei, Fergus, R., Perona, P. (2004) Learning Generative Visual Models from Few Training Examples: an Incremental Bayesian Approach Tested on 101 Object Categories. IEEE. CVPR, Workshop on Generative-Model Based Vision.
  • 11
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive Image Features from Scale-Invariant Keypoints
    • Lowe, D. G. (2004) Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 60(2), 91-110.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 12
    • 14344254812 scopus 로고    scopus 로고
    • The Multiple Multiplicative Factor Model for Collaborative Filtering
    • Marlin, B. and Zemel, R. (2004) The Multiple Multiplicative Factor Model for Collaborative Filtering. In Proceedings of the 21st ICML.
    • (2004) Proceedings of the 21st ICML
    • Marlin, B.1    Zemel, R.2
  • 13
    • 0141596527 scopus 로고    scopus 로고
    • Estimating a Dirichlet Distribution
    • Technical Report, Microsoft Research
    • Minka, T. P. (2003) Estimating a Dirichlet Distribution. Technical Report, Microsoft Research.
    • (2003)
    • Minka, T.P.1
  • 15
    • 0030678780 scopus 로고    scopus 로고
    • Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval
    • Puzicha, J., Hofmann, T., Buhmann, J. (1997) Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval. In Proceedings of the IEEE. CVPR, pp.267-272.
    • (1997) Proceedings of the IEEE. CVPR , pp. 267-272
    • Puzicha, J.1    Hofmann, T.2    Buhmann, J.3
  • 16
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear Dimensionality Reduction by Locally Linear Embedding
    • Roweis, S. and Saul, L. (2000) Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science. 290: 2323-2326
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 19
    • 0142161367 scopus 로고
    • Word Space
    • Schütze, H. (1993) Word Space. In NIPS, volume 5.
    • (1993) NIPS , vol.5
    • Schütze, H.1
  • 20
    • 0029906607 scopus 로고    scopus 로고
    • Dirichlet Mixtures: A Method for Improving Detection of Weak but Significant Protein Sequence Homology
    • Sjolander, K., Karplus, K., Brown, M., Hughey, R., Krogh, A., Mian, I.S., Haussler, D. (1996) Dirichlet Mixtures: A Method for Improving Detection of Weak but Significant Protein Sequence Homology. CABIOS, 12(4): 327-345
    • (1996) CABIOS , vol.12 , Issue.4 , pp. 327-345
    • Sjolander, K.1    Karplus, K.2    Brown, M.3    Hughey, R.4    Krogh, A.5    Mian, I.S.6    Haussler, D.7
  • 22
    • 0034704229 scopus 로고    scopus 로고
    • A Global Geometric Framework for Nonlinear Dimensionality Reduction
    • Tenenbaum, J., Silva, V.d., Langford, J. (2000) A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science. 290: 2319-2323
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.1    Silva, V.D.2    Langford, J.3
  • 23
    • 33745780732 scopus 로고    scopus 로고
    • Exponential Family Harmoniums with an Application to Information Retrieval
    • Welling, M., Rosen-Zvi, M., Hinton, G. (2004) Exponential Family Harmoniums with an Application to Information Retrieval. In NIPS, volume 16.
    • (2004) NIPS , vol.16
    • Welling, M.1    Rosen-Zvi, M.2    Hinton, G.3
  • 25
    • 34547985076 scopus 로고    scopus 로고
    • Dirichlet Mixtures in Text Modeling
    • Technical report. CS-TR-05-1. University of Tsukuba
    • Yamamoto, M. and Sadamitsu, K. (2005) Dirichlet Mixtures in Text Modeling. Technical report. CS-TR-05-1. University of Tsukuba.
    • (2005)
    • Yamamoto, M.1    Sadamitsu, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.