Pando G. Georgiev

发表

Robust aspects of solutions in deterministic multiple objective linear programming

Panos M. Pardalos, Dinh The Luc, Pando G. Georgiev, 2013, Eur. J. Oper. Res..

Sparse component analysis and blind source separation of underdetermined mixtures

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2005, IEEE Transactions on Neural Networks.

Sparse Deflations in Blind Signal Separation

Danielle Nuzillard, Anca L. Ralescu, Pando G. Georgiev, 2006, ICA.

Robust Sparse Component Analysis Based on a Generalized Hough Transform

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2007, EURASIP J. Adv. Signal Process..

Blind source separation via symmetric eigenvalue decomposition

Andrzej Cichocki, Pando G. Georgiev, A. Cichocki, 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

Generalized Nash equilibrium problems for lower semi-continuous strategy maps

Panos M. Pardalos, Pando G. Georgiev, 2011, J. Glob. Optim..

Fuzzy Subspace Clustering Algorithm and Applications to Blind Signal Separation

Anca L. Ralescu, Dan A. Ralescu, Pando G. Georgiev, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Iterative roots of multidimensional operators and applications to dynamical systems

Panos M. Pardalos, Lars Kindermann, Pando G. Georgiev, 2013, Optim. Lett..

Robust blind source separation and dispersing algorithms

Andrzej Cichocki, Pando G. Georgiev, A. Cichocki, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Sparse component analysis of overcomplete mixtures by improved basis pursuit method

Andrzej Cichocki, Pando G. Georgiev, A. Cichocki, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

On the possible use of ICA to identify synaptic inputs from observations of several neurons

Henry C. Tuckwell, Pando G. Georgiev, P. Georgiev, 2005, Neurocomputing.

A hierarchical approach for sparse source Blind Signal Separation problem

Panos M. Pardalos, Mujahid N. Syed, Pando G. Georgiev, 2014, Comput. Oper. Res..

Blind source separation and sparse component analysis of overcomplete mixtures

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Parameterized variational inequalities

Pando G. Georgiev, 2010, J. Glob. Optim..

Parametric Ekeland's variational principle

Pando G. Georgiev, 2001, Appl. Math. Lett..

Blind Source Separation of Linear Mixtures with Singular Matrices

Fabian J. Theis, Fabian J Theis, Pando G. Georgiev, 2004, ICA.

Algorithms with high order convergence speed for blind source extraction

Panos M. Pardalos, Andrzej Cichocki, Pando G. Georgiev, 2007, Comput. Optim. Appl..

Identifiability Conditions and Subspace Clustering in Sparse BSS

Fabian J. Theis, Anca L. Ralescu, Fabian J Theis, 2007, ICA.

Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2004, ESANN.

Beyond ICA: robust sparse signal representations

Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

Localization of minimax points

Panos M. Pardalos, Altannar Chinchuluun, Pando G. Georgiev, 2008, J. Glob. Optim..

A bilinear algorithm for sparse representations

Panos M. Pardalos, Fabian J. Theis, Fabian J Theis, 2007, Comput. Optim. Appl..

Blind Source Separation Algorithms with Matrix Constraints

Pando G. Georgiev, A. Cichocki, P. Georgiev, 2003, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Robust Independent Component Analysis via Time-Delayed Cumulant Functions

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2003, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Blind identification problems with constraints

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Robust Blind Source Separation Utilizing Second and Fourth Order Statistics

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2002, ICANN.

Optimization Techniques for Date Representions with Biomedical Applications

Fabian J. Theis, Fabian J Theis, Pando G. Georgiev, 2009 .

Fuzzy skeletons and statistical learning theory

Pando G. Georgiev, P. Georgiev, A. Ralescu, 2008 .

Optimization Algorithms for Sparse Representations and Applications

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2006 .

Clustering on subspaces and sparse representation of signals

Pando G. Georgiev, P. Georgiev, A. Ralescu, 2005, 48th Midwest Symposium on Circuits and Systems, 2005..

Chapter 1 OPTIMIZATION ALGORITHMS FOR SPARSE REPRESENTATIONS AND APPLICATIONS

Pando G. Georgiev, P. Georgiev, 2005 .

Sparse Component Analysis: a New Tool for Data Mining

Fabian J. Theis, Andrzej Cichocki, Hovagim Bakardjian, 2004 .

Optimization techniques for independent component analysis with applications to EEG data

Pando G. Georgiev, A. Cichocki, P. Georgiev, 2004 .

INVITED PAPER Special Section on Special Issue on Blind Signal Processing Blind Source Separation Algorithms with Matrix Constraints

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2003 .

SPARSE COMPONENT ANALYSIS BY IMPROVED BASIS PURSUIT METHOD

Pando G. Georgiev, A. Cichocki, P. Georgiev, 2003 .

Multichannel blind deconvolution of colored signals via eigenvalue decomposition

A. Cichocki, Pando G. Georgiev, P. Georgiev, 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

On Some Extensions Of The Natural Gradient Algorithm

Shun-ichi Amari, Andrzej Cichocki, Pando G. Georgiev, 2001 .

Nurse Scheduling Problem: An Integer Programming Model with a Practical Application

Panos M. Pardalos, Neng Fan, Petraq J. Papajorgji, 2013 .

Robust Physiological Mappings: From Non-Invasive to Invasive

Panos M. Pardalos, Mujahid N. Syed, Pando G. Georgiev, 2015 .

Polyhydroxy fullerenes

Pando G. Georgiev, P. Pardalos, B. Moudgil, 2013, Journal of Nanoparticle Research.

Iterative roots of multidimensional operators and applications to dynamical systems

Pando G. Georgiev, P. Pardalos, P. Georgiev, 2012, Optimization Letters.

ITERATIVE ROOTS OF MAPPINGS IN MULTIDIMENSIONAL SPACES

Pando G. Georgiev, L. Kindermann, 2002 .