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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]