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Surname: 
Amato
Firstname: 
Umberto
Position: 
Staff
Profile: 
Research Director
Phone: 
0816132377
Curriculum: 

Degree in Physics cum laude at the University of Napoli in 1981.
From 1981 to 1984 employee at the “Azienda per il Risparmio Energetico” in the R&D sector; from 1984 to 1986 Professor at High School in Electronics and Science. From 1986 Researcher at the Italian National Research Council. From 2016 Director of research at the Italian National Research Council.
Manager of the Istituto per le Applicazioni del Calcolo ‘Mauro Picone’ CNR, Napoli branch from 2002 to 2003 and from 2006 to 2014.
Elected by the CNR researchers and technologists as a member of the CNR Management Board, but not selected by the Italian Minist ry of University and Research (2012).
PI of 8 projects on the development of statistical methodologies in the framework of bilateral cooperation agreements between CNR and corresponding French, Rumanian, Chinese and Israel Agencies (1996-2005). PI of the project "Il sistema scolastico come sistema complesso: qualità delle rilevazioni e modelli di interpretazione dei risultati", INVALSI, 2006-2008
Responsible of Units in the following projects: “Proba-V Clouds Detection Round Robin Protocol” (European Space Agency, 2016-2017); “ACTIVITI - Attrattori Culturali e
Tecnologie Informatiche per la Valorizzazione Interattiva e il Turismo Innovativo” (District of Campania, 2013-2015); “BERSAGLI: sonde e segnali in terapia diagnostica”
(District of Campania, 2013-2015); “Sviluppo di metodologie per l’estrazione e l’integrazione delle informazioni diagnostiche finalizzate a definire percorsi clinici terapeutici
personalizzati in patologie ad elevato impatto sociale” in the framework of the programme MERIT (Italian Ministry of Education and Research, 2011-2014); “SAP4PRISMA -
Sviluppo di Algoritmi e Prodotti per applicazioni in agricoltura ed il monitoraggio del territorio a supporto della missione PRISMA” (Italian Space Agency, 2011-2015).
Responsible of 15 fellowships at the Italian National Research Council.
Tutor of 15 theses at the University of Napoli.
Referee of numerous international journals.
Member of the Organizing Committee of the following International Conferences: MASCOT NUM 2011, Villard-de-Lans, France, 2011; First International Conference on VLSI,
Communication, Computation and Security (ICVCCS’10), Karunya Nagar (India), 2010; BIOCOMP 2005 – Diffusion processes in Neurobiology and Subcellular Biology, Vietri
sul Mare, Italy, 2005; Grenoble 1994-2003 – Wavelets & Statistics, Watering the seed, Villard de Lans, France, 2003; BIOCOMP 2002 - Topics in Biomathematics and related
computational problems at the be-ginning of the Third Millennium, Vietri sul Mare, Italy, 2002
Reviewer of projects for the University of Hong-Kong.
Active in divulgating science at specific events, particu larly “Futuro Remoto”, yearly organized by the Science Center Città della Scienza, Napoli, and “Giochi senza barriere”,
yearly organized by the no-profit organization Tutti a scuola, Napoli.
Author of about 120 peer-reviewed publications on International jou rnals.
Sceintific activity has been devoted to the development of mathematical a nd statistical methods and to their application to several fields:
- Application of statistical methods to the analysis of climatic data. Analysis of solar radiation from the climatological and statistical point of view; development of a
simplified method for estimating solar spectrum.
- Energy systems. Development of a model that s imulates a generic photochemical converter of solar energy; development of a model that simulates the thermal behaviour
of a building. Optimization of districting heating plants. Analysis of the Italian Energy System and assessment of the renewable energy sources and energy saving measures
in different fuel scenarios. The methodology is largely based on linear programming tools.
- Numerical methods for partial differential equations with applications. Simulation of air m otion inside cylinders of engines aimed at reducing the cost of development of
engines and abating pollutant emissions. Development of a mixed implicit-semilagrangian methodology based on finite volumes and conformal mapping from a timevarying
domain to a fixed one. Development of a fractional step mixed explicit/semi-implicit methodology. Development of a method for approximating equations of a
shallow water model applied to atmospheric circulation.
- Numerical and statistical methods for atmospheric phy sics and remote sensing. Development of parametric and nonparametric methods for retrieving size distribution of
aerosols in the atmosphere starting from measures of solar radiation at ground. In particular a regularization methodology has been developed where the penalization term
is given by entropy for which convergence has been proved. Methods have been developed for retrieving atmospheric profiles of temperature, humidity and concentration of
selected gas constituents from interferograms produced by specific infrared radiometers (High-resolution Interferometry Sounders). Initially a technique has been developed
for estimating spectrum for interferograms. From the mathematical point of view the problem is governed by a cosine Fourier transform, that is solved in a framework of
inverse problems and therefore uses regularization tools. The regularization parameter is chosen by Generalized Cross Validation (GCV). The retrieval of geophysical
parameters from spectra is governed by a first kind Fredholm integral equation that has been solved by Generalized Singular Value Decomposition (GSVD) and Truncated
Generalized Singular Value Decomposition (TGSVD) tools. An analytical model has been developed of the Radiative Transfer Equation (RTE) in the atmosphere that also yields
an analytical calculus of the Jacobians of the equation. The model is based on a specific parameterization of the atmospheric optical depth at very high spectral resolution
with respect to temperature and its compression by wavelet packets. Its implementation is able to dramatically abat the computational time needed for computing radiance,
which is essential for retrieving geophysical parameters in real time. From the methodological point of view a semiiterative Landweber method has been developed for
solving the RTE with a suitable stop criterion. The researches have been developed in the framework of international projects on sensors actually flying onboard satellites
(IASI from EUMETSAT and IMG from the Japanese NASDA), for which they have been used to assess the performance of the retrieved geophysical products. A method has
been developed based on wavelets and on wavelet packets able to compress images taken from AVHRR sensor onboard satellites.
- Statistical methods for image processing with applications. Statistical methods have been developed that are specific for images a nd applied to different fields in remote
sensing and medicine, aimed at retrieving important features from the images. In all cases the statistical problem involved is classification which is solved by a class of
methods based on Discriminant Analysis. In particular the problem of detecting clouds from the multi- or hyper-spectral images has been considered. It has been applied to
several sensors: AVHRR, SEVIRI, MODIS, PRISMA, Proba-V. It has been chosen by EUMETSAT as the reference product for the next generation METEOSAT satellites
(METEOSAT Third Generation, MTG). The problem of estimating the surface typology (e.g., bare soil, water, urban, agricultural) from images taken from sensors onboard
satellite (LANDSAT) or airborne (MIVIS sensor) has also been considered. In the medical field the problem of detecting pathological conditions in Magnetic Resonance (MR)
Images has been considered.
- Statistical methodologies. T he method of regularization by Entropy functional has been pioneering introduced for the solution of First Kind Fredholm Integral equations.
The corresponding paper U. Amato, W.P. Hughes: Maximum Entropy Regularization of Fredholm Integral equations of the First Kind, Inverse Problems 7, 793-808 (1991) has
been selected by the journal Inverse Problems as representative of year 1991 for the celebrations of the 25th year of the journal. The problem of nonparametric regression
has been considered: a method based on the Minimum Noise Fraction (MNF) has been developed specific for a problem of abundancy estimation in remote sensing; the
method of wavelet regularization has been developed having optimal theoretical properties among linear methods. A method based on wavelets has also been developed
able to deal with nonequispaced and nondyadic data. Specific regression methods have been developed for the case of multivariate time series, relying on splines and
wavelets for smooth and nonsmooth components, with particular penalization functionals that preserve sparseness of the solution by groups. In this respect the solutions
also aim at reducing the dimension of the problems mitigating the curse of dimensionality. A specific method for the nonparametric estimate of the density function has also
been considered endowed with a Factor Analysis model that can also applied to a classification problem. More methodologies have been considered for the classification
problem based on the Discriminant Analysis endowed with Independent Component Analysis (ICDA), also exploiting the spatial correlation of images (Localized Discriminant
Analysis); for the 2-class problem a method has been developed (Cumulative Discriminant Analysis, CDA) that allows to give solutions having the same Type-I and Type-II
error. This method has been introduced for a competition by ESA on cloud detection from images taken by multispectral sensors onboard satellites by state-of-art
methodologies, ranking the second.

Source: 

Scientific Productions

Donatella Granata, Umberto Amato, Bruno Alfano

MRI denoising by nonlocal means on multi-GPU

Journal of Real-Time Image Processing [Springer Berlin Heidelberg], Volume: 16 Issue: 2 Pages: 523-533

Donatella Granata, Umberto Amato, Bruno Alfano

MRI denoising by nonlocal means on multi-GPU

Journal of Real-Time Image Processing [Springer Berlin Heidelberg], Volume: 16 Issue: 2 Pages: 523-533

Umberto Amato, Biancamaria Della Vecchia

On Shepard–Gupta-type operators

Journal of inequalities and applications [SpringerOpen], Volume: 2018 Issue: 1 Pages: 232

U Amato, B Della Vecchia

INEQUALITIES FOR SHEPARD–TYPE OPERATORS

J. Math. Inequal [], Volume: 12 Issue: 2 Pages: 517-530

S Easter Selvan, Didier Allexandre, Umberto Amato, Guang H Yue

Unsupervised Stochastic Strategies for Robust Detection of Muscle Activation Onsets in Surface Electromyogram

IEEE Transactions on Neural Systems and Rehabilitation Engineering [IEEE], Volume: 26 Issue: 6 Pages: 1279-1291

Umberto Amato, Biancamaria Della Vecchia

Iterative rational least squares fitting

Georgian Mathematical Journal [De Gruyter],

Umberto Amato, Anestis Antoniadis, Italia De Feis, Yannig Goude

Estimation and group variable selection for additive partial linear models with wavelets and splines

South African Statistical Journal [South African Statistical Association (SASA)], Volume: 51 Issue: 2 Pages: 235-272

Umberto Amato, Biancamaria Della Vecchia

Rational Operators Based on q-Integers

Results in Mathematics [Springer International Publishing], Volume: 72 Issue: 3 Pages: 1109-1128

Umberto Amato, Biancamaria Della Vecchia

Weighting Shepard-type operators

Computational and Applied Mathematics [Springer International Publishing], Volume: 36 Issue: 2 Pages: 885-902

Paolo Silvestrini, Umberto Amato, Antonio Vettoliere, Stefano Silvestrini, Berardo Ruggiero

Rate equation leading to hype-type evolution curves: A mathematical approach in view of analysing technology development

Technological Forecasting and Social Change [North-Holland], Volume: 116 Pages: 1-12

Umberto Amato, Anestis Antoniadis, Italia De Feis

Additive model selection

Statistical Methods & Applications [Springer Berlin Heidelberg], Volume: 25 Issue: 4 Pages: 519-564

Umberto Amato, Biancamaria Della Vecchia

Modelling by Shepard-type curves and surfaces.

Journal of Computational Analysis & Applications [], Volume: 20 Issue: 1

Umberto Amato, Della Vecchia Biancamaria

Bridging Bernstein and Lagrange polynomials

Mathematical Communications [Odjel za matematiku, Sveučilište JJ Strossmayera u Osijeku], Volume: 20 Issue: 2 Pages: 151-160

Amit Chattopadhyay, Suviseshamuthu Easter Selvan, Umberto Amato

A derivative-free Riemannian Powell’s method, minimizing Hartley-entropy-based ICA contrast

IEEE transactions on neural networks and learning systems [IEEE], Volume: 27 Issue: 9 Pages: 1983-1990

Amit Chattopadhyay, Suviseshamuthu Easter Selvan, Umberto Amato

A Derivative-Free Riemannian Powell’s Method, Minimizing Hartley-Entropy-Based ICA Contrast

IEEE transactions on neural networks and learning systems [IEEE], Volume: 27 Issue: 9 Pages: 1983-1990

Umberto Amato, Biancamaria Della Vecchia

New results on rational approximation

Results in Mathematics [Springer Basel], Volume: 67 Issue: 3-4 Pages: 345-364

M Caroline Viola Stella Mary, Elijah Blessing Rajsingh, J Kishore Kumar Jacob, D Anandhi, Umberto Amato, S Easter Selvan

An empirical study on optic disc segmentation using an active contour model

Biomedical Signal Processing and Control [Elsevier], Volume: 18 Pages: 19-29

U Amato, L Lavanant, G Liuzzi, G Masiello, C Serio, R Stuhlmann, SA Tjemkes

Cloud mask via cumulative discriminant analysis applied to satellite infrared observations: scientific basis and initial evaluation

Atmospheric Measurement Techniques [Copernicus GmbH], Volume: 7 Issue: 10 Pages: 3355-3372

Loredana Murino, Donatella Granata, Maria Francesca Carfora, S Easter Selvan, Bruno Alfano, Umberto Amato, Michele Larobina

Evaluation of supervised methods for the classification of major tissues and subcortical structures in multispectral brain magnetic resonance images

Computerized Medical Imaging and Graphics [Pergamon], Volume: 38 Issue: 5 Pages: 337-347

Barbara Masiello, Alessandra Marasco, Francesco Izzo, Umberto Amato

EXPLORING CLIENTS’ROLE IN THE INNOVATION OF ADVERTISING SERVICES: A EUROPEAN SURVEY

21st IPDM Conference “Innovation through Engineering, Business and Design”, Limerick, Ireland [],

Loredana Murino, Umberto Amato, Maria Francesca Carfora, Anestis Antoniadis, Bormin Huang, W Paul Menzel, Carmine Serio

Cloud detection of MODIS multispectral images

Journal of Atmospheric and Oceanic Technology [], Volume: 31 Issue: 2 Pages: 347-365

MSP Subathra, S Easter Selvan, T Aruldoss Albert Victoire, A Hepzibah Christinal, Umberto Amato

A hybrid with cross-entropy method and sequential quadratic programming to solve economic load dispatch problem

IEEE Systems Journal [IEEE], Volume: 9 Issue: 3 Pages: 1031-1044

MSP Subathra, S Easter Selvan, T Aruldoss Albert Victoire, A Hepzibah Christinal, Umberto Amato

A hybrid with cross-entropy method and sequential quadratic programming to solve economic load dispatch problem

IEEE Systems Journal [IEEE], Volume: 9 Issue: 3 Pages: 1031-1044

S Easter Selvan, MSP Subathra, A Hepzibah Christinal, Umberto Amato

On the benefits of Laplace samples in solving a rare event problem using cross-entropy method

Applied Mathematics and Computation [Elsevier], Volume: 225 Pages: 843-859

L Vitale, L Ottaiano, F Polimeno, G Maglione, U Amato, C Arena, P Di Tommasi, M Mori, V Magliulo

Effects of 3, 4-dimethylphyrazole phosphate-added nitrogen fertilizers on crop growth and N2O emissions in Southern Italy.

Plant, Soil and Environment [], Volume: 59 Issue: 11 Pages: 517-523

Umberto Amato, Patrizia Lavia, Vito Mocella

Boycott challenges research tactics

Nature [Nature Publishing Group], Volume: 501 Issue: 7467 Pages: 316

Umberto Amato, Anestis Antoniadis, Maria Francesca Carfora, Paolo Colandrea, Vincenzo Cuomo, Monica Franzese, Stefano Pignatti, Carmine Serio

Statistical classification for assessing PRISMA hyperspectral potential for agricultural land use

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [IEEE], Volume: 6 Issue: 2 Pages: 615-625

Loredana Murino, Umberto Amato, Bruno Alfano

Automatic MRI Brain Tissue Classification

ERCIM NEWS [], Pages: 30

Carmine Serio, Guido Masiello, Sara Venafra, Umberto Amato, I De Feis

Application Data for MTG-IRS Cloud Detection Method

EUMETSAT, Darmstadt [],

U AMATO, MF CARFORA, C COSMI, V CUOMO

M. MACCHIATOf, M. RAGOSTA" and C. SERIOf

Entropy and Energy Dissipation in Water Resources [Springer Science & Business Media], Volume: 9 Pages: 303

SP Adhikari, A Alessandri, B Alfano, AM Alimi, E Alonso, U Amato, B Ammar, D Anguita, M Antonini, DW Apley, T Asfour, JL Aznarte, D Bacciu, B Baesens, A Balavoine, N Barnes, CP Bechlioulis, A Behal, F Bellocchio, JM Benitez, R Benosman, C Bergmeir, W Bian, DAJ Blythe, F Bonanno, NA Borghese, P Bouboulis, D Bouchaffra, CS Bouganis, N Bouguila, S Boutemedjet, F Cai, K Cameron, KD Cantley, J Cao, Y Cao, Z Cao, G Capizzi, MF Carfora, T Chai, FJ Chang, LC Chang, X Chang, RA Chapman, SP Chatzis, WW Che, B Chen, D Chen, G Chen, H Chen, J Chen, L Chen

2012 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 23

IEEE Transactions on Neural Networks and Learning Systems [], Volume: 23 Issue: 12 Pages: 2013

Suviseshamuthu Easter Selvan, Umberto Amato, Kyle A Gallivan, Chunhong Qi, Maria Francesca Carfora, Michele Larobina, Bruno Alfano

Descent algorithms on oblique manifold for source-adaptive ICA contrast

IEEE transactions on neural networks and learning systems [IEEE], Volume: 23 Issue: 12 Pages: 1930-1947

Silvia Ranucci, Teresa Bertolini, Luca Vitale, Paul Di Tommasi, Lucia Ottaiano, Marco Oliva, Umberto Amato, Angelo Fierro, Vincenzo Magliulo

The influence of management and environmental variables on soil N 2 O emissions in a crop system in Southern Italy

Plant and soil [Springer Netherlands], Volume: 343 Issue: 1-2 Pages: 83-96

Bruno Alfano, Marco Comerci, Michele Larobina, Anna Prinster, Joseph P Hornak, S Easter Selvan, Umberto Amato, Mario Quarantelli, Gioacchino Tedeschi, Arturo Brunetti, Marco Salvatore

An MRI digital brain phantom for validation of segmentation methods

Medical image analysis [Elsevier], Volume: 15 Issue: 3 Pages: 329-339

S Alfieri, U Amato, MF Carfora, M Esposito, V Magliulo

Quantifying trace gas emissions from composite landscapes: A mass-budget approach with aircraft measurements

Atmospheric Environment [Pergamon], Volume: 44 Issue: 15 Pages: 1866-1876

Umberto Amato, Anestis Antoniadis, Alexander Samarov, Alexandre B Tsybakov

Noisy independent factor analysis model for density estimation and classification

Electronic journal of statistics [The Institute of Mathematical Statistics and the Bernoulli Society], Volume: 4 Pages: 707-736

Umberto Amato, Anestis Antoniadis, I De Feis, Guido Masiello, Marco Matricardi, Carmine Serio

Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data

Atmospheric Chemistry and Physics [Copernicus GmbH], Volume: 9 Issue: 14 Pages: 5321-5330

Massimo Di Giulio, Umberto Amato

The close relationship between the biosynthetic families of amino acids and the organisation of the genetic code

Gene [Elsevier], Volume: 435 Issue: 1-2 Pages: 9-12

Umberto Amato, Anestis Antoniadis, Italia De Feis, Guido Masiello, Marco Matricardi, Carmine Serio

Evaluation of a dimension‐reduction‐based statistical technique for Temperature, Water Vapour and Ozone retrievals from IASI radiances

AIP Conference Proceedings [AIP], Volume: 1100 Issue: 1 Pages: 211-214

Umberto Amato, Rosa Maria Cavalli, Angelo Palombo, Stefano Pignatti, Federico Santini

Experimental approach to the selection of the components in the minimum noise fraction

IEEE Transactions on Geoscience and Remote Sensing [IEEE], Volume: 47 Issue: 1 Pages: 153-160

Umberto Amato, Rosa Maria Cavalli, Angelo Palombo, Stefano Pignatti, Federico Santini

Experimental approach to the selection of the components in the minimum noise fraction

IEEE Transactions on Geoscience and Remote Sensing [IEEE], Volume: 47 Issue: 1 Pages: 153-160

Luisa Cutillo, Umberto Amato

Localized empirical discriminant analysis

Computational Statistics & Data Analysis [North-Holland], Volume: 52 Issue: 11 Pages: 4966-4978

Umberto Amato, Anestis Antoniadis, Vicenze Cuomo, Luisa Cutillo, M Franzese, Loredana Murino, Carmine Serio

Statistical cloud detection from SEVIRI multispectral images

Remote Sensing of Environment [Elsevier], Volume: 112 Issue: 3 Pages: 750-766

Umberto Amato, Maria Francesca Carfora, Paolo Colandrea

WAGRIT: A Web-based Application for Agricultural and Environmental Monitoring

ERCIM News [], Volume: 2008 Issue: 73

Umberto Amato, Anestis Antoniadis, Italia De Feis

Dimension reduction in functional regression with applications

Computational Statistics & Data Analysis [North-Holland], Volume: 50 Issue: 9 Pages: 2422-2446

Umberto Amato, Anestis Antoniadis, Marianna Pensky

Wavelet kernel penalized estimation for non-equispaced design regression

Statistics and Computing [Kluwer Academic Publishers], Volume: 16 Issue: 1 Pages: 37-55

Umberto Amato, Theofanis Sapatinas

Wavelet shrinkage approaches to baseline signal estimation from repeated noisy measurements

Advances and Applications in Statistics [], Volume: 51 Pages: 21-50

B Bizzari, B Bizzarri, U Amato, J Bates, W Benesch, S Buehler, M Capaldo, M Cervino, V Cuomo, L Leonibus, M Desbois, S Dietrich, F Evans, L Eymard, A Gasiewski, N Gustafsson, G Heygster, M Klein, K Kunzi, V Levizzani, GL Liberti, E Lopez-Baeza, P Menzel, J Miao, A Mugnai, P Pagano, J Pailleux, J Pardo, F Porcu, C Prigent, F Prodi, R Rizzi, G Rochard, HP Roesli, C Serio, W Smith, A Speranza, D Staelin, A Sutera, JJ Tsou, C Velden, G Visconti

GOMAS–Geostationary observatory for microwave atmospheric sounding

submitted to ESA in response to the call for ideas for the Next Earth Explorer Core Missions [], Volume: 5

RQ Iannone, Fabrizio Niro, Philippe Goryl, Steffen Dransfeld, Bianca Hoersch, Kerstin Stelzer, Grit Kirches, M Paperin, Carsten Brockmann, Luis Gómez-Chova, Gonzalo Mateo-García, Rene Preusker, Jürgen Fischer, Umberto Amato, Carmine Serio, Ute Gangkofner, B Berthelot, M-D Iordache, Luc Bertels, E Wolters, Wouter Dierckx, Iskander Benhadj, Else Swinnen

Proba-V cloud detection Round Robin: Validation results and recommendations

2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp) [IEEE], Pages: 1-8

Stefano Pignatti, Nicola Acito, Umberto Amato, Raffaele Casa, Fabio Castaldi, Rosa Coluzzi, Roberto De Bonis, Marco Diani, Vito Imbrenda, Giovanni Laneve, Stefania Matteoli, Angelo Palombo, Simone Pascucci, Federico Santini, Tiziana Simoniello, Cristina Ananasso, Giovanni Corsini, Vincenzo Cuomo

Environmental products overview of the Italian hyperspectral prisma mission: The SAP4PRISMA project

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) [IEEE], Pages: 3997-4000

Federico Santini, Umberto Amato, M Daraio, Stefano Pignatti, Angelo Palombo, Simone Pascucci

Calibration issues and pre-processing chain of the TASI-600 airborne LWIR hyperspectral scanner

2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) [IEEE], Pages: 1-4

Stefano Pignatti, Nicola Acito, Umberto Amato, Raffaele Casa, Roberto de Bonis, Marco Diani, Giovanni Laneve, Stefania Matteoli, Angelo Palombo, Simone Pascucci, Filomena Romano, Federico Santini, Tiziana Simoniello, Cristina Ananasso, Simona Zoffoli, Giovanni Corsini, Vincenzo Cuomo

Development of algorithms and products for supporting the Italian hyperspectral PRISMA mission: The SAP4PRISMA project

2012 IEEE International Geoscience and Remote Sensing Symposium [IEEE], Pages: 127-130

Suviseshamuthu Easter Selvan, Amit Chattopadhyay, Umberto Amato, Pierre-Antoine Absil

Range-based non-orthogonal ICA using cross-entropy method.

ESANN [],

Easter Selvan Suviseshamuthu, Amit Chattopadhyay, U Amato, Pierre-Antoine Absil

Range-based non-orthogonal ICA using cross-entropy method

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012) [],