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- Johnson, MH; de Haan, M; Oliver, A; Smith, W; Hatzakis, H; Tucker, LA; Csibra, G

Recording and analyzing high-density event-related potentials with infantsusing the Geodesic sensor net*DEVELOPMENTAL NEUROPSYCHOLOGY*

- Kobayashi, K; Merlet, I; Gotman, J

Separation of spikes from background by independent component analysis with dipole modeling and comparison to intracranial recording*CLINICAL NEUROPHYSIOLOGY*

- Liang, HL

Adaptive independent component analysis of multichannel electrogastrograms*MEDICAL ENGINEERING & PHYSICS*

- Wachtler, T; Lee, TW; Sejnowski, TJ

Chromatic structure of natural scenes*JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION*

- Muraki, S; Nakai, T; Kita, Y; Tsuda, K

An attempt for coloring multichannel MR imaging data*IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS*

- Fiori, S

On blind separation of complex-valued sources by extended Hebbian learning*IEEE SIGNAL PROCESSING LETTERS*

- Hild, KE; Erdogmus, D; Principe, J

Blind source separation using Renyi's mutual information*IEEE SIGNAL PROCESSING LETTERS*

- Calhoun, VD; Adali, T; Pearlson, GD; Pekar, JJ

A method for making group inferences from functional MRI data using independent component analysis*HUMAN BRAIN MAPPING*

- Calhoun, VD; Adali, T; Pearlson, GD; Pekar, JJ

Spatial and temporal independent component analysis of functional MRI datacontaining a pair of task-related waveforms*HUMAN BRAIN MAPPING*

- van der Kouwe, AJW; Wang, DL; Brown, GJ

A comparison of auditory and blind separation techniques for speech segregation*IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING*

- Gu, H; Engelien, W; Feng, HH; Silbersweig, DA; Stern, E; Yang, YH

Mapping transient, randomly occurring neuropsychological events using independent component analysis*NEUROIMAGE*

- Calhoun, VD; Adali, T; McGinty, VB; Pekar, JJ; Watson, TD; Pearlson, GD

fMRI activation in a visual-perception task: Network of areas detected using the general linear model and independent components analysis*NEUROIMAGE*

- Pham, DT; Cardoso, JF

Blind separation of instantaneous mixtures of nonstationary sources*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- Moreau, E

A generalization of joint-diagonalization criteria for source separation*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- Regalia, PA; Mboup, M

Properties of some blind equalization criteria in noisy multiuser environments*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- De Lathauwer, L; De Moor, B; Vandewalle, J

Independent component analysis and (simultaneous) third-order tensor diagonalization*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- Hyvarinen, A

Blind source separation by nonstationarity of variance: A cumulant-based approach*IEEE TRANSACTIONS ON NEURAL NETWORKS*

- Vlassis, N; Motomura, Y

Efficient source adaptivity in independent component analysis*IEEE TRANSACTIONS ON NEURAL NETWORKS*

- Back, AD; Trappenberg, TP

Selecting inputs for modeling using normalized higher order statistics andindependent component analysis*IEEE TRANSACTIONS ON NEURAL NETWORKS*

- Wu, JM; Chiu, SJ

Independent component analysis using pots models*IEEE TRANSACTIONS ON NEURAL NETWORKS*

- Tan, Y; Wang, J; Zurada, JM

Nonlinear blind source separation using a radial basis function network*IEEE TRANSACTIONS ON NEURAL NETWORKS*

- Umeyama, S

Blind deconvolution of blurred images by use of ICA*ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE*

- Akaho, S; Umeyama, S

Multimodal independent component analysis - A method of feature extractionfrom multiple information sources*ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE*

- Zetzsche, C; Krieger, G

Nonlinear mechanisms and higher-order statistics in biological vision and electronic image processing: review and perspectives*JOURNAL OF ELECTRONIC IMAGING*

- Ding, PL; Mei, JF; Zhang, LM; Kang, XL

Research of automatic face recognition based on ICA*JOURNAL OF INFRARED AND MILLIMETER WAVES*

- Sato, W; Kochiyama, T; Yoshikawa, S; Matsumura, M

Emotional expression boosts early visual processing of the face: ERP recording and its decomposition by independent component analysis*NEUROREPORT*

- Willmore, B; Tolhurst, DJ

Characterizing the sparseness of neural codes*NETWORK-COMPUTATION IN NEURAL SYSTEMS*

- Coenen, OJMD; Arnold, MP; Sejnowski, TJ; Jabri, MA

Parallel fiber coding in the cerebellum for life-long learning*AUTONOMOUS ROBOTS*

- Callan, DE; Callan, AM; Kroos, C; Vatikiotis-Bateson, E

Multimodal contribution to speech perception revealed by independent component analysis: a single-sweep EEG case study*COGNITIVE BRAIN RESEARCH*

- Cheung, YM; Xu, L

Independent component ordering in ICA time series analysis*NEUROCOMPUTING*

- Lorincz, A; Szirtes, G; Takacs, B; Buzsaki, G

Independent component analysis of temporal sequences forms place cells*NEUROCOMPUTING*

- Hyvarinen, A; Hoyer, PO

Topographic independent component analysis as a model of V1, organization and receptive fields*NEUROCOMPUTING*

- Lorincz, A; Szatmary, B; Kaban, A

Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences*NEUROCOMPUTING*

- Hermanto; Barros, AK; Yamamura, T; Ohnishi, N

Separating virtual and real objects using independent component analysis*IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS*

- Puntonet, CG; Mansour, A

Blind separation of sources using density estimation and simulated annealing*IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES*

- Barros, AK; Cichocki, A

Extraction of specific signals with temporal structure*NEURAL COMPUTATION*

- Sagi, B; Nemat-Nasser, SC; Kerr, R; Hayek, R; Downing, C; Hecht-Nielsen, R

A biologically motivated solution to the cocktail party problem*NEURAL COMPUTATION*

- Fiori, S

A theory for learning by weight flow on Stiefel-Grassman manifold*NEURAL COMPUTATION*

- Zibulevsky, M; Pearlmutter, BA

Blind source separation by sparse decomposition in a signal dictionary*NEURAL COMPUTATION*

- Koivunen, V; Enescu, M; Oja, E

Adaptive algorithm for blind separation from noisy time-varying mixtures*NEURAL COMPUTATION*

- McKeown, MJ; Radtke, R

Phasic and tonic coupling between EEG and EMG demonstrated with independent component analysis*JOURNAL OF CLINICAL NEUROPHYSIOLOGY*

- Fukae, S

CP asymmetry of B -> X(s)l(+)l(-) in the low invariant mass region - art. no. 054010*PHYSICAL REVIEW D*

- Yuen, PWT

Measurement of extreme weak signal, embedded in large non-stationary background typical of earth's magnetic field*JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS*

- Itoh, K; Fujii, Y; Suzuki, K; Nakada, T

Asymmetry of parietal lobe activation during piano performance: a high field functional magnetic resonance imaging study*NEUROSCIENCE LETTERS*

- Maeda, S; Inagaki, S; Kawaguchi, H; Song, WJ

Separation of signal and noise from in vivo optical recording in Guinea pigs using independent component analysis*NEUROSCIENCE LETTERS*

- Chow, JC; Watson, JG; Crow, D; Lowenthal, DH; Merrifield, T

Comparison of IMPROVE and NIOSH carbon measurements*AEROSOL SCIENCE AND TECHNOLOGY*

- Donoho, DL

Sparse components of images and optimal atomic decompositions*CONSTRUCTIVE APPROXIMATION*

- Herrmann, F; Nandi, AK

Blind separation of linear instantaneous mixtures using closed-form estimators*SIGNAL PROCESSING*

- Zhang, LQ; Amari, S; Cichocki, A

Semiparametric model and superefficiency in blind deconvolution*SIGNAL PROCESSING*

- Dai, XH

A new blind separation method of convolutive mixture of regular signal based on hidden representation and system deconvolution*SIGNAL PROCESSING*

- Tong, S; Bezerianos, A; Paul, J; Zhu, Y; Thakor, N

Removal of ECG interference from the EEG recordings in small animals usingindependent component analysis*JOURNAL OF NEUROSCIENCE METHODS*

- Kaban, A; Girolami, M

A combined latent class and trait model for the analysis and visualizationof discrete data*IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE*

- Lee, JS; Lee, DS; Ahn, JY; Cheon, GJ; Kim, SK; Yeo, JS; Seo, K; Park, KS; Chung, JK; Lee, MC

Blind separation of cardiac components and extraction of input function from (H2O)-O-15 dynamic myocardial PET using independent component analysis*JOURNAL OF NUCLEAR MEDICINE*

- Hyvarinen, A; Hoyer, PO

A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images*VISION RESEARCH*

- Saito, N

Image approximation and modeling via least statistically dependent bases*PATTERN RECOGNITION*

- Szu, H; Kopriva, I

Artificial neural networks for noisy image super-resolution*OPTICS COMMUNICATIONS*

- Tian, GY

Design and implementation of distributed measurement systems using fieldbus-based intelligent sensors*IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT*

- Zarzoso, V; Nandi, AK

Noninvasive fetal electrocardiogram extraction: Blind separation versus adaptive noise cancellation*IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING*

- Jung, TP; Makeig, S; McKeown, MJ; Bell, AJ; Lee, TW; Sejnowski, TJ

Imaging brain dynamics using independent component analysis*PROCEEDINGS OF THE IEEE*

- He, ZY; Liu, J; Yang, LX; Wei, CJ

An ICA and EC based approach for blind equalization and channel parameter estimation*SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES*

- Czakon, M; Gluza, J; Jegerlehner, F; Zralek, M

Confronting electroweak precision measurements with New Physics models*EUROPEAN PHYSICAL JOURNAL C*

- Jung, TP; Makeig, S; Westerfield, M; Townsend, J; Courchesne, E; Sejnowski, TJ

Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects*CLINICAL NEUROPHYSIOLOGY*

- Everson, R; Roberts, S

Blind source separation for non-stationary mixing*JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY*

- Douglas, SC; Kung, SY

Gradient adaptive algorithms for contrast-based blind deconvolution*JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY*

- Lowenthal, DH; Watson, JG; Saxena, P

Contributions to light extinction during project MOHAVE*ATMOSPHERIC ENVIRONMENT*

- Vigon, L; Saatchi, MR; Mayhew, JEW; Fernandes, R

Quantitative evaluation of techniques for ocular artefact filtering of EEGwaveforms*IEE PROCEEDINGS-SCIENCE MEASUREMENT AND TECHNOLOGY*

- Tsumura, N; Haneishi, H; Miyake, Y

Independent component analysis of spectral absorbance image in human skin*OPTICAL REVIEW*

- Stoll, B; Moreau, E

A generalized ICA algorithm*IEEE SIGNAL PROCESSING LETTERS*

- McKeown, MJ

Detection of consistently task-related activations in fMRI data with hybrid independent component analysis*NEUROIMAGE*

- Xu, L

Temporal BYY learning for state space approach, hidden Markov model, and blind source separation*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- Douglas, SC; Amari, S; Kune, SY

On gradient adaptation with unit-norm constraints*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- Degerine, S; Malki, R

Second-order blind separation of sources based on canonical partial innovations*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- Pham, DT

Blind separation of instantaneous mixture of sources based on order statistics*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- He, ZY; Yang, LX; Liu, J; Lu, ZY; He, C; Shi, YH

Blind source separation using clustering-based multivariate density estimation algorithm*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- Moreau, E; Comon, P

Comments on blind beamforming for multiple non-gaussian signals and the constant-modulus algorithm*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- Macchi, O; Moreau, E

Reply to "Comments on 'Self-Adaptive source separation, Part I: Convergence analysis of a direct linear network controled by the Herault-Jutten algorithm"'*IEEE TRANSACTIONS ON SIGNAL PROCESSING*

- Li, YQ; Wang, J; Zurada, JM

Blind extraction of singularly mixed source signals*IEEE TRANSACTIONS ON NEURAL NETWORKS*

- Cruces-Alvarez, S; Cichocki, A; Castedo-Ribas, L

An iterative inversion approach to blind source separation*IEEE TRANSACTIONS ON NEURAL NETWORKS*

- Douglas, SC

Self-stabilized gradient algorithms for blind source separation with orthogonality constraints*IEEE TRANSACTIONS ON NEURAL NETWORKS*

- Tian, GY; Zhao, ZX; Baines, RW

A Fieldbus-based intelligent sensor*MECHATRONICS*

- Fiori, S

Blind separation of circularly distributed sources by neural extended APEXalgorithm*NEUROCOMPUTING*

- Dodel, S; Herrmann, JM; Geisel, T

Localization of brain activity - blind separation for fMRI data*NEUROCOMPUTING*

- Tang, AC; Pearlmutter, BA; Zibulevsky, M; Carter, SA

Blind source separation of multichannel neuromagnetic responses*NEUROCOMPUTING*

- Cheung, CC; Xu, L

Some global and local convergence analysis on the information-theoretic independent component analysis approach*NEUROCOMPUTING*

- Jones, LA; Cardno, AG; Murphy, KC; Sanders, RD; Gray, MY; McCarthy, G; McGuffin, P; Owen, MJ; Williams, J

The Kings Schizotypy Questionnaire as a quantitative measure of schizophrenia liability*SCHIZOPHRENIA RESEARCH*

- Solano, JJR; De Chavez, MG

Premorbid personality disorders in schizophrenia*SCHIZOPHRENIA RESEARCH*

- Cao, JT; Murata, N; Amari, S; Cichocki, A; Takeda, T; Endo, H; Harada, N

Single-trial magnetoencephalographic data decomposition and localization based on independent component analysis approach*IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES*

- Mansour, A; Barros, AK; Ohnishi, N

Blind separation of sources: Methods, assumptions and applications*IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES*

- Rosenfeld, A; Wechsler, H

Pattern recognition: Historical perspective and future directions*INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY*

- Vigario, R; Oja, E

Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?*NEURAL NETWORKS*

- Nadal, JP; Korutcheva, E; Aires, F

Blind source separation in the presence of weak sources*NEURAL NETWORKS*

- Fiori, S

Blind signal processing by the adaptive activation function neurons*NEURAL NETWORKS*

- Hyvarinen, A; Oja, E

Independent component analysis: algorithms and applications*NEURAL NETWORKS*

- De Lathauwer, L; De Moor, B; Vandewalle, J

An introduction to independent component analysis*JOURNAL OF CHEMOMETRICS*

- Field, JH

Indirect limit on the standard model Higgs boson mass from the precision Fermilab, LEP, and SLD data - art. no. 013010*PHYSICAL REVIEW D*

- Knief, A; Schulte, M; Bertrand, O; Pantev, C

The perception of coherent and non-coherent auditory objects: a signature in gamma frequency band*HEARING RESEARCH*

- Nuzillard, D; Bijaoui, A

Blind source separation and analysis of multispectral astronomical images*ASTRONOMY & ASTROPHYSICS SUPPLEMENT SERIES*

- Field, JH; Sciarrino, D

A study of the LEP and SLD measurements of A(b)*MODERN PHYSICS LETTERS A*

- Parga, N; Nadal, JP

Blind source separation with time-dependent mixtures*SIGNAL PROCESSING*

- Liu, CJ; Wechsler, H

Evolutionary pursuit and its application to face recognition*IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE*

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici

Documento generato il 25/01/21 alle ore 12:58:48