P. Georgiev

发表

Blind Source Separation Algorithms with Matrix Constraints

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

SPARSE COMPONENT ANALYSIS BY IMPROVED BASIS PURSUIT METHOD

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

BLIND SOURCE SEPARATION OF BILINEARLY MIXED SIGNALS

P. Georgiev, 2001 .

Nonlinear analysis : stability, approximation, and inequalities : in honor of Themistocles M. Rassias on the occasion of his 60th birthday

P. Pardalos, P. Georgiev, H. Srivastava, 2012 .

Construction of Pairs of Reproducing Kernel Banach Spaces

P. Pardalos, P. Georgiev, L. Sánchez-González, 2014 .

Fuzzy skeletons and statistical learning theory

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

Optimization techniques for independent component analysis with applications to EEG data

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

Chapter 1 OPTIMIZATION ALGORITHMS FOR SPARSE REPRESENTATIONS AND APPLICATIONS

Pando G. Georgiev, P. Georgiev, 2005 .

On Some New Ideas and Algorithms for Independent Component Analysis (Nonlinear Analysis and Convex Analysis)

Andrzej Cichocki, Pando Georgiev, A. Cichocki, 2002 .

THE NODE PLACEMENT OF LARGE-SCALE INDUSTRIAL WIRELESS SENSOR NETWORKS BASED ON BINARY DIFFERENTIAL EVOLUTION HARMONY SEARCH ALGORITHM

W. Ye, P. Georgiev, Ling Wang, 2012 .

Sparseness Theorems and Sparse Representation of Signals (Nonlinear Analysis and Convex Analysis)

Andrzej Cichocki, Pando Georgiev, A. Cichocki, 2004 .

Iterative roots of multidimensional operators and applications to dynamical systems

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

Blind Signal Separation Methods in Computational Neuroscience

Panos M. Pardalos, Mujahid N. Syed, Pando Georgiev, 2013 .

Optimization Techniques for Date Representions with Biomedical Applications

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

Identifiability Conditions and Subspace Clustering in Sparse BSS

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

Cross-cumulants measure for independence

Anca L. Ralescu, Dan A. Ralescu, Pando Georgiev, 2007 .

Robust Sparse Component Analysis Based on a Generalized Hough Transform

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

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.

Clustering on subspaces and sparse representation of signals

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

Blind Source Separation of Linear Mixtures with Singular Matrices

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

A hierarchical approach for sparse source Blind Signal Separation problem

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

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.

Iterative roots of multidimensional operators and applications to dynamical systems

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

Algorithms with high order convergence speed for blind source extraction

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

Sparse Deflations in Blind Signal Separation

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

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).

Optimization Algorithms for Sparse Representations and Applications

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

Sparse Component Analysis: a New Tool for Data Mining

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

Systems analysis tools for better health care delivery

Panos M. Pardalos, Petraq J. Papajorgji, Pando Georgiev, 2013 .

Relaxed submonotone mappings

Pando Georgiev, P. Georgiev, T. Donchev, 2003 .

Robust Physiological Mappings: From Non-Invasive to Invasive

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

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).

Sparse component analysis and blind source separation of underdetermined mixtures

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

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).

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.

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

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