PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Zoltan Szabo

Click here to see user's record.

Number of EPrints submitted by this user: 46

Cross-entropy optimization for independent process analysis
Zoltan Szabo, Barnabas Poczos and András Lorincz
In: 6th International Conference on Independent Component Analysis and Blind Source Separation (ICA), 5-8 Mar 2006, Charleston, SC, USA.

Real and complex independent subspace analysis by generalized variance
Zoltan Szabo and András Lorincz
In: ICA Research Network International Workshop (ICARN), 18-19 Sep 2006, Liverpool, U.K..

Separation theorem for K-independent subspace analysis with sufficient conditions
Zoltan Szabo, Barnabas Poczos and András Lorincz
(2006) Technical Report, arXiv.

Neurally plausible, non-combinatorial iterative independent process analysis
András Lorincz and Zoltan Szabo
Neurocomputing - Letters Volume 70, Number 7-9, pp. 1569-1573, 2006.

Undercomplete blind subspace deconvolution
Zoltan Szabo, Barnabas Poczos and András Lorincz
Journal of Machine Learning Research Volume 8, pp. 1063-1095, 2007.

Independent process analysis without a priori dimensional information
Barnabas Poczos, Zoltan Szabo, Melinda Kiszlinger and András Lorincz
In: 7th International Conference on Independent Component Analysis and Signal Separation (ICA), 9-12 Sep 2007, London, U.K..

Post nonlinear independent subspace analysis
Zoltan Szabo, Barnabas Poczos, Gabor Szirtes and András Lorincz
In: International Conference on Artificial Neural Networks (ICANN), 9-13 Sep 2007, Porto, Portugal.

Undercomplete blind subspace deconvolution via linear prediction
Zoltan Szabo, Barnabas Poczos and András Lorincz
In: 18th European Conference on Machine Learning (ECML), 17-21 Sep 2007, Warsaw, Poland.

Towards independent subspace analysis in controlled dynamical systems
Zoltan Szabo and András Lorincz
In: ICA Research Network International Workshop (ICARN), 25-26 Sep 2008, Liverpool, U.K..

Complete blind subspace deconvolution
Zoltan Szabo
In: 8th International Conference on Independent Component Analysis and Signal Separation (ICA), 15-18 Mar 2009, Paraty, Brazil.

Fast parallel estimation of high dimensional information theoretical quantities with low dimensional random projection ensembles
Zoltan Szabo and András Lorincz
In: 8th International Conference on Independent Component Analysis and Signal Separation (ICA), 15-18 Mar 2009, Paraty, Brazil.

Controlled complete ARMA independent process analysis
Zoltan Szabo and András Lorincz
In: International Joint Conference on Neural Networks (IJCNN), 14-19 Jun 2009, Atlanta, Georgia, USA.

Auto-regressive independent process analysis without combinatorial efforts
Zoltan Szabo, Barnabas Poczos and András Lorincz
Pattern Analysis and Applications Volume 13, Number 1, pp. 1-13, 2010.

Autoregressive independent process analysis with missing observations
Zoltan Szabo
In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 28-30 Apr 2010, Bruges, Belgium.

Online group-structured dictionary learning
Zoltan Szabo, Barnabas Poczos and András Lorincz
In: 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 20-25 Jun 2011, Colorado Springs, CO, USA.

Nonparametric independent process analysis
Zoltan Szabo and Barnabas Poczos
In: 19th European Signal Processing Conference (EUSIPCO), 29 Aug - 02 Sep 2011, Barcelona, Spain.

Nonparametric divergence estimators for independent subspace analysis
Barnabas Poczos, Zoltan Szabo and Jeff Schneider
In: 19th European Signal Processing Conference (EUSIPCO) -- Special Session on Dependent Component Analysis, 29 Aug - 02 Sep 2011, Barcelona, Spain.

Separation theorem for independent subspace analysis and its consequences
Zoltan Szabo, Barnabas Poczos and András Lorincz
Pattern Recognition 2010.

Separation theorem for independent subspace analysis and its consequences
Zoltan Szabo, Barnabas Poczos and András Lorincz
Pattern Recognition Volume 45, Number 4, pp. 1782-1791, 2012.

Collaborative filtering via group-structured dictionary learning
Zoltan Szabo, Barnabas Poczos and András Lorincz
In: The 10th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), 12-15 March 2012, Tel-Aviv, Israel.

3D shape estimation in video sequences provides high precision evaluation of facial expressions
Laszlo Jeni, András Lorincz, Tamas Nagy, Zsolt Palotai, Judit Sebok, Zoltan Szabo and Daniel Takacs
Image and Vision Computing 2012.

Collaborative filtering via group-structured dictionary learning
Zoltan Szabo, Barnabas Poczos and András Lorincz
In: The 10th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), 12-15 March 2012, Tel-Aviv, Israel.

Cross-entropy optimization for independent process analysis
Zoltan Szabo, Barnabas Poczos and András Lorincz
In: 6th International Conference on Independent Component Analysis and Blind Source Separation (ICA), 5-8 Mar 2006, Charleston, SC, USA.

Real and complex independent subspace analysis by generalized variance
Zoltan Szabo and András Lorincz
In: ICA Research Network International Workshop (ICARN), 18-19 Sep 2006, Liverpool, U.K..

Post nonlinear independent subspace analysis
Zoltan Szabo, Barnabas Poczos, Gabor Szirtes and András Lorincz
In: International Conference on Artificial Neural Networks (ICANN), 9-13 Sep 2007, Porto, Portugal.

Undercomplete blind subspace deconvolution via linear prediction
Zoltan Szabo, Barnabas Poczos and András Lorincz
In: 18th European Conference on Machine Learning (ECML), 17-21 Sep 2007, Warsaw, Poland.

Auto-regressive independent process analysis without combinatorial efforts
Zoltan Szabo, Barnabas Poczos and András Lorincz
Pattern Analysis and Applications Volume 13, Number 1, pp. 1-13, 2010.

Towards independent subspace analysis in controlled dynamical systems
Zoltan Szabo and András Lorincz
In: ICA Research Network International Workshop (ICARN), 25-26 Sep 2008, Liverpool, U.K..

Complete blind subspace deconvolution
Zoltan Szabo
In: 8th International Conference on Independent Component Analysis and Signal Separation (ICA), 15-18 Mar 2009, Paraty, Brazil.

Fast parallel estimation of high dimensional information theoretical quantities with low dimensional random projection ensembles
Zoltan Szabo and András Lorincz
In: 8th International Conference on Independent Component Analysis and Signal Separation (ICA), 15-18 Mar 2009, Paraty, Brazil.

Controlled complete ARMA independent process analysis
Zoltan Szabo and András Lorincz
In: International Joint Conference on Neural Networks (IJCNN), 14-19 Jun 2009, Atlanta, Georgia, USA.

Online dictionary learning with group structure inducing norms
Zoltan Szabo, Barnabas Poczos and András Lorincz
In: International Conference on Machine Learning (ICML-2011) - Structured Sparsity: Learning and Inference Workshop, 2 July 2011, Bellevue, Washington, USA.

Online group-structured dictionary learning
Zoltan Szabo, Barnabas Poczos and András Lorincz
In: 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 20-25 Jun 2011, Colorado Springs, CO, USA.

Separation theorem for independent subspace analysis and its consequences
Zoltan Szabo, Barnabas Poczos and András Lorincz
Pattern Recognition Volume 45, Number 4, pp. 1782-1791, 2012.

Independent process analysis without a priori dimensional information
Barnabas Poczos, Zoltan Szabo, Melinda Kiszlinger and András Lorincz
In: 7th International Conference on Independent Component Analysis and Signal Separation (ICA), 9-12 Sep 2007, London, U.K..

Neurally plausible, non-combinatorial iterative independent process analysis
András Lorincz and Zoltan Szabo
Neurocomputing - Letters Volume 70, Number 7-9, pp. 1569-1573, 2007.

Nonparametric independent process analysis
Zoltan Szabo and Barnabas Poczos
In: 19th European Signal Processing Conference (EUSIPCO), 29 Aug - 02 Sep 2011, Barcelona, Spain.

Nonparametric divergence estimators for independent subspace analysis
Barnabas Poczos, Zoltan Szabo and Jeff Schneider
In: 19th European Signal Processing Conference (EUSIPCO) -- Special Session on Dependent Component Analysis, 29 Aug - 02 Sep 2011, Barcelona, Spain.

Autoregressive independent process analysis with missing observations
Zoltan Szabo
In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 28-30 Apr 2010, Bruges, Belgium.

Automated word puzzle generation via topic dictionaries
Balazs Pinter, Gyula Voros, Zoltan Szabo and András Lorincz
In: International Conference on Machine Learning (ICML-2012) - Sparsity, Dictionaries and Projections in Machine Learning and Signal Processing Workshop, 30 June 2012, Edinburgh, Scotland.

3D shape estimation in video sequences provides high precision evaluation of facial expressions
Laszlo Jeni, András Lorincz, Tamas Nagy, Zsolt Palotai, Judit Sebok, Zoltan Szabo and Daniel Takacs
Image and Vision Computing 2012.

Distributed high dimensional information theoretical image registration via random projections
Zoltan Szabo and András Lorincz
Digital Signal Processing 2012.

Distributed high dimensional information theoretical image registration via random projections
Zoltan Szabo and András Lorincz
Digital Signal Processing Volume 22, Number 6, pp. 894-902, 2012.

Group-structured and independent subspace based dictionary learning
Zoltan Szabo
(2012) PhD thesis, Eötvös Loránd University.

Explaining unintelligible words by means of their context
Balazs Pinter, Gyula Voros, Zoltan Szabo and András Lorincz
In: International Conference on Pattern Recognition Applications and Methods (ICPRAM), 15-18 February 2013, Barcelona, Spain.

Determining unintelligible words from their textual contexts
Balazs Pinter, Gyula Voros, Zsolt Palotai, Zoltan Szabo and András Lorincz
In: International Conference on Integrated Information (IC-ININFO), 30 Aug - 3 Sep 2012, Budapest, Hungary.