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Barnabás Póczos: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Botond Szatmáry, Barnabás Póczos, Julian Eggert, Edgar Körner, András Lörincz
    Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:503-507 [Conf]
  2. Barnabás Póczos, Bálint Takács, András Lörincz
    Independent Subspace Analysis on Innovations. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:698-706 [Conf]
  3. Zoltán Szabó, Barnabás Póczos, András Lörincz
    Cross-Entropy Optimization for Independent Process Analysis. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:909-916 [Conf]
  4. Barnabás Póczos, András Lörincz
    Independent Subspace Analysis Using k-Nearest Neighborhood Distances. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:163-168 [Conf]
  5. Barnabás Póczos, András Lörincz
    Independent subspace analysis using geodesic spanning trees. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:673-680 [Conf]
  6. Barnabás Póczos, András Lörincz
    Kalman-filtering using local interactions [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  7. András Lörincz, Barnabás Póczos
    Cost Component Analysis. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2003, v:13, n:3, pp:183-192 [Journal]
  8. Gábor Szirtes, Barnabás Póczos, András Lörincz
    Neural Kalman filter. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:349-355 [Journal]
  9. Zoltán Szabó, Barnabás Póczos, András Lörincz
    Undercomplete Blind Subspace Deconvolution Via Linear Prediction. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:740-747 [Conf]
  10. Zoltán Szabó, Barnabás Póczos, Gábor Szirtes, András Lörincz
    Post Nonlinear Independent Subspace Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:677-686 [Conf]
  11. Barnabás Póczos, András Lörincz
    Non-combinatorial estimation of independent autoregressive sources. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2416-2419 [Journal]

  12. A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra. [Citation Graph (, )][DBLP]


  13. Independent Process Analysis Without a Priori Dimensional Information. [Citation Graph (, )][DBLP]


  14. ICA and ISA using Schweizer-Wolff measure of dependence. [Citation Graph (, )][DBLP]


  15. Learning when to stop thinking and do something! [Citation Graph (, )][DBLP]


  16. Budgeted Distribution Learning of Belief Net Parameters. [Citation Graph (, )][DBLP]


  17. D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks [Citation Graph (, )][DBLP]


  18. Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs [Citation Graph (, )][DBLP]


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