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Volumn , Issue , 2013, Pages 1713-1720

Non-negative Multiple Matrix Factorization

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEMENTARY DATA; MATRIX FACTORIZATIONS; MULTIPLE MATRICES; MULTIPLICATIVE UPDATES; NONNEGATIVE MATRIX FACTORIZATION; SYNTHETIC AND REAL DATA; TARGET MATRICES; UNSUPERVISED MACHINE LEARNING;

EID: 84896063115     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (33)
  • 1
    • 30844456955 scopus 로고    scopus 로고
    • Polyphonic music transcription by non-negative sparse coding of power spectra
    • S.A. Abdallah and M.D. Plumbley. Polyphonic music transcription by non-negative sparse coding of power spectra. In Proc. ISMIR, 2004.
    • (2004) Proc. ISMIR
    • Abdallah, S.A.1    Plumbley, M.D.2
  • 2
    • 33646712150 scopus 로고    scopus 로고
    • On the uniqueness of overcomplete dictionaries, and a practical way to retrieve them
    • M. Aharon, M. Elad, and A.M. Bruckstein. On the uniqueness of overcomplete dictionaries, and a practical way to retrieve them. Linear algebra and its applications, 416(1):48-67, 2006.
    • (2006) Linear Algebra and Its Applications , vol.416 , Issue.1 , pp. 48-67
    • Aharon, M.1    Elad, M.2    Bruckstein, A.M.3
  • 4
    • 79959532395 scopus 로고    scopus 로고
    • Graph regularized non-negative matrix factorization for data representation
    • D. Cai, X. He, and J. Han. Graph regularized non-negative matrix factorization for data representation. IEEE Trans., 33:1548-1560, 2011.
    • (2011) IEEE Trans. , vol.33 , pp. 1548-1560
    • Cai, D.1    He, X.2    Han, J.3
  • 5
    • 38149095674 scopus 로고    scopus 로고
    • Detect and track latent factors with online nonnegative matrix factorization
    • B. Cao, D. Shen, J.T. Sun, X. Wang, Q. Yang, and Z. Chen. Detect and track latent factors with online nonnegative matrix factorization. In Proc. IJCAI, 2007.
    • (2007) Proc. IJCAI
    • Cao, B.1    Shen, D.2    Sun, J.T.3    Wang, X.4    Yang, Q.5    Chen, Z.6
  • 7
    • 80052506120 scopus 로고    scopus 로고
    • Hierarchical ALS algorithms for nonnegative matrix and 3D tensor factorization
    • A. Cichocki, R. Zdunek, and S. Amari. Hierarchical ALS algorithms for nonnegative matrix and 3D tensor factorization. In Proc. ICA, 2007.
    • (2007) Proc. ICA
    • Cichocki, A.1    Zdunek, R.2    Amari, S.3
  • 9
    • 84866511641 scopus 로고    scopus 로고
    • Maximum marginal likelihood estimation for nonnegative dictionary learning in the Gamma-Poisson model
    • O. Dikmen and C. Févotte. Maximum marginal likelihood estimation for nonnegative dictionary learning in the Gamma-Poisson model. IEEE Trans., 2012.
    • (2012) IEEE Trans.
    • Dikmen, O.1    Févotte, C.2
  • 10
    • 33750290224 scopus 로고    scopus 로고
    • NMF and PLSI: Equivalence and a hybrid algorithm
    • C. Ding, T. Li, and W. Peng. NMF and PLSI: Equivalence and a hybrid algorithm. In Proc. SIGIR, 2006.
    • (2006) Proc. SIGIR
    • Ding, C.1    Li, T.2    Peng, W.3
  • 12
    • 77956538800 scopus 로고    scopus 로고
    • Bayesian nonparametric matrix factorization for recorded music
    • M. D. Hoffman, D. M. Blei, and P. R. Cook. Bayesian nonparametric matrix factorization for recorded music. In Proc. ICML, 2011.
    • (2011) Proc ICML
    • Hoffman, M.D.1    Blei, D.M.2    Cook, P.R.3
  • 13
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing
    • T. Hofmann. Probabilistic latent semantic indexing. In Proc. SIGIR, 1999.
    • (1999) Proc. SIGIR
    • Hofmann, T.1
  • 14
    • 84900510076 scopus 로고    scopus 로고
    • Non-negative matrix factorization with sparseness constraints
    • P.O. Hoyer. Non-negative matrix factorization with sparseness constraints. Journal of Machine Learning Research, 5:1457-1469, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1457-1469
    • Hoyer, P.O.1
  • 15
    • 84874089397 scopus 로고    scopus 로고
    • Towards automatic image understanding and mining via social curation
    • K. Ishiguro, A. Kimura, and K. Takeuchi. Towards automatic image understanding and mining via social curation. In Proc. ICDM, 2012.
    • (2012) Proc. ICDM
    • Ishiguro, K.1    Kimura, A.2    Takeuchi, K.3
  • 16
    • 74549114009 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. IEEE, 2009.
    • (2009) IEEE
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 17
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • October
    • D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401:788-791, October 1999.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 18
    • 0001093042 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • D. D. Lee, Daniel D., and S. H. Sebastian. Algorithms for non-negative matrix factorization. In Proc. NIPS, 2000.
    • (2000) Proc. NIPS
    • Lee, D.D.1    Daniel, D.2    Sebastian, S.H.3
  • 19
    • 80052647541 scopus 로고    scopus 로고
    • Smoothing techniques for adaptive online language models: Topic tracking in tweet streams
    • J. Lin, R. Snow, and W. Morgan. Smoothing techniques for adaptive online language models: topic tracking in tweet streams. In Proc. SIGKDD, 2011.
    • (2011) Proc. SIGKDD
    • Lin, J.1    Snow, R.2    Morgan, W.3
  • 20
    • 77954604765 scopus 로고    scopus 로고
    • Distributed nonnegative matrix factorization for web-scale dyadic data analysis on MapReduce
    • C. Liu, H. Yang, J. Fan, L. He, and Y. Wang. Distributed nonnegative matrix factorization for web-scale dyadic data analysis on MapReduce. In Proc. WWW, 2010.
    • (2010) Proc. WWW
    • Liu, C.1    Yang, H.2    Fan, J.3    He, L.4    Wang, Y.5
  • 21
    • 84866683313 scopus 로고    scopus 로고
    • Aoptimal non-negative projection for image representation
    • H. Liu, Z. Yang, Z. Wu, and X. Li. Aoptimal non-negative projection for image representation. In Proc. CVPR, 2012.
    • (2012) Proc. CVPR
    • Liu, H.1    Yang, Z.2    Wu, Z.3    Li, X.4
  • 22
    • 70349257904 scopus 로고    scopus 로고
    • Sorec: Social recommendation using probabilistic matrix factorization
    • H. Ma, H. Yang, M. R. Lyu, and I. King. Sorec: Social recommendation using probabilistic matrix factorization. In Proc. CIKM, 2008.
    • (2008) Proc. CIKM
    • Ma, H.1    Yang, H.2    Lyu, M.R.3    King, I.4
  • 23
    • 57349152312 scopus 로고    scopus 로고
    • Topic modeling with network regularization
    • Q. Mei, D. Cai, D. Zhang, and C. Zhai. Topic modeling with network regularization. In Proc. WWW, 2008.
    • (2008) Proc. WWW
    • Mei, Q.1    Cai, D.2    Zhang, D.3    Zhai, C.4
  • 24
    • 83455246038 scopus 로고    scopus 로고
    • Bayesian nonparametric spectrogram modeling based on infinite factorial infinite hidden Markov model
    • M. Nakano, J. L. Roux, H. Kameoka, T. Nakamura, N. Ono, and S. Sagayama. Bayesian nonparametric spectrogram modeling based on infinite factorial infinite hidden Markov model. In Proc. WASPAA, 2011.
    • (2011) Proc. WASPAA
    • Nakano, M.1    Roux, J.L.2    Kameoka, H.3    Nakamura, T.4    Ono, N.5    Sagayama, S.6
  • 26
    • 84867125398 scopus 로고    scopus 로고
    • Collaborative topic regression with social matrix factorization for recommendation systems
    • S. Purushotham, Y. Liu, and C. C. J. Kuo. Collaborative topic regression with social matrix factorization for recommendation systems. In Proc. ICML, 2012.
    • (2012) Proc. ICML
    • Purushotham, S.1    Liu, Y.2    Kuo, C.C.J.3
  • 27
  • 29
    • 84945116938 scopus 로고    scopus 로고
    • Non-negative matrix factorization for polyphonic music transcription
    • P. Smaragdis and J.C. Brown. Non-negative matrix factorization for polyphonic music transcription. In Proc. WASPA, 2003.
    • (2003) Proc. WASPA
    • Smaragdis, P.1    Brown, J.C.2
  • 30
    • 12244288622 scopus 로고    scopus 로고
    • Probabilistic author-topic models for information discovery
    • M. Steyvers, P. Smyth, and T. Griffiths. Probabilistic author-topic models for information discovery. In Proc. SIGKDD, 2004.
    • (2004) Proc. SIGKDD
    • Steyvers, M.1    Smyth, P.2    Griffiths, T.3
  • 31
    • 80052666619 scopus 로고    scopus 로고
    • Collaborative topic modeling for recommending scientific articles
    • C. Wang and D. M. Blei. Collaborative topic modeling for recommending scientific articles. In Proc. SIGKDD, 2011.
    • (2011) Proc. SIGKDD
    • Wang, C.1    Blei, D.M.2
  • 32
    • 84857336717 scopus 로고    scopus 로고
    • Efficient document clustering via online nonnegative matrix factorizations
    • F. Wang, C. Tan, A.C. König, and P. Li. Efficient document clustering via online nonnegative matrix factorizations. In Proc. SIAM, 2011.
    • (2011) Proc. SIAM
    • Wang, F.1    Tan, C.2    König, A.C.3    Li, P.4
  • 33
    • 1542347778 scopus 로고    scopus 로고
    • Document clustering based on non-negative matrix factorization
    • W. Xu, X. Liu, and Y. Gong. Document clustering based on non-negative matrix factorization. In Proc. SIGIR, 2003.
    • (2003) Proc. SIGIR
    • Xu, W.1    Liu, X.2    Gong, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.