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Subject Index to volume 69, Nos. 13-15
Neurocomputing 69 (2006) 1815–1816 www.elsevier.com/locate/neucom
Subject index to volume 69, Nos. 13–15 (2006) 2-Dimensional PCA 2-Dimensional FLD
1711 1711
3D ICA
1475
Active learning Adaptive control Addressing Almost periodic solution Associative memory
1691 1645 1637 1760 1637
Bayesian analysis Bias/variance decomposition Bifurcation Biomedical signal analysis Biometric system Black-box modeling Blind deconvolution Blind equalisation Blind Source Separation (BSS) Bottom-up saliency map Brain aging BSS
1796 1540 1628 1502 1670 1802 1467 1529 1415, 1425, 1458 1723 1553 1475
Diagonal FLD Dimensionality reduction Discrete Hopfield neural network Dynamic decay adjustment Dynamic sources
1711 1683, 1697 1665 1728 1475
EEG signal classification EM algorithm Ensemble of classifiers 1670, Equivariant Adaptive Separation via Independence (EASI) Evolutionary neural networks Expectation-maximization (EM) algorithm Exponential stability 1619,
1743 1513 1739 1415 1561 1659 1776
Face recognition 1678, 1683, 1697, 1711, 1796, 1806 FastICA algorithm 1782 Feature extraction 1697, 1806 Feature extractor 1743 Feed-forward neural networks 1540 Feedback error learning 1645 Feedforward controller 1645 FingerCode 1702 Fingerprint authentication 1702 Fingerprint 1706 Fisher discriminant analysis 1683 Fisher linear discriminant analysis (FLD) 1711 Fixed point theorem 1760 Functional magnetic resonance imaging (fMRI) 1502 Fusion of classifiers 1688 Fuzzy c-means 1570 Fuzzy cellular neural networks 1619 Fuzzy clustering 1570 Fuzzy K-nearest neighbor 1806 Fuzzy kernel linear discriminant analysis 1806
Cascade correlation CDMA receiver Cerebellum motor control Chaos Chromosomes Classification Classifier combination Cliques Clustering Coherent images Complex independent component analysis (complex ICA) Content addressable memory Convergence Convolution model Correlations Coupled learning rules Cross-correlation analysis
1802 1691 1645 1628 1739 1728 1678 1475 1608 1435 1502 1628 1772 1502 1637 1582 1561
Gaussian mixture Generalized Hopfield neural networks (GHNNs) Genetic algorithm (GA) Geodesic distance Gram–Schmidt method Guiding genetic algorithm (GGA)
1674 1760 1442, 1591 1768 1582 1442
Deflation Delayed AMUSE Denoising Dependency
1582 1485 1513 1513
Halanay inequality Hemodynamic response Hierarchical-Bayes model Higher order statistics (HOS)
1760 1502 1659 1425, 1442
0925-2312/$ - see front matter doi:10.1016/S0925-2312(06)00153-6
1816
Subject index / Neurocomputing 69 (2006) 1815–1816
Hopfield neural networks Hyperchaos
1787 1787
ICA 1475, 1513 Image recognition 1733 Image registration 1717 Image segmentation 1513 Image-based matcher 1702 Independent Component Analysis (ICA) 1415, 1425, 1435, 1442, 1458, 1529 Insect vision 1591 Integrate-and-fire neuron 1561 Interpretation 1754 Karyotype Kernel linear discriminant analysis Kernel LPP (KLPP) Kernel principal component analysis (KPCA) Kernel transform
1739 1806 1733 1733 1743
Least-squares support vector machines LGMD Linear regression models Linear rule LLE Local ICA Locality preserving projections (LPP) Locality-based learning Locust Lyapunov functional Lyapunov–Krasovskii functionals
1655 1591 1570 1754 1768 1485 1733 1697 1591 1776 1619
Machine learning Markov process Max-Cut problem Maximum a posteriori (MAP) estimation MIMO systems Model selection Motion detection Multi-matcher systems Multi-scale support vector regression (MS-SVR) Multi-value pattern recognition Multimodal fusion Multiplicative noise Mutual information
1678 1772 1665 1659 1529 1674 1599 1670 1659 1628 1706 1435 1442
Nearest neighbors Neural network Neural networks Neuromodulation Neurons Noisy dimensionality reduction Nonlinear Nonlinear dimensional data reduction Nonlinear dynamics Nonlinear measure Nonlinear processing Novelty detection Novelty scene detection Object recognition ODE
1608 1475, 1553, 1717 1637 1553 1475 1608 1513 1768 1665 1776 1467 1608 1723 1711 1772
Oja’s learning algorithm Ordering Orthogonal discriminant vectors Orthogonal frequency division multiplexing Orthonormalization Outlier detection
1717 1608 1683 1529 1582 1608
Palmprint recognition 1782 PBIL 1772 Peak-bifurcation plot 1787 Periodic solution 1619 Physicochemical properties of amino acids 1688 Primary visual cortex (VI) 1502 Principal Component Analysis (PCA) 1458, 1582, 1697, 1711, 1717, 1796 Projective subspace denoising embedding 1485 Propagation map 1599 Pruning 1728 Pruning method 1655 Pseudo-random numbers 1706 Radial basis function neural networks 1570 Radial basis probabilistic neural network (RBPNN) 1782 RBF networks 1728, 1749, 1802 Recognition rate 1782 Recurrent neural networks 1776 Regression 1749 Regularization theory 1674 SCA Score Function Difference (SFD) Selective attention Sensory detection Sequential approximations Software effort estimation Sparse ICA Sparse LS-SVM Spatio-temporal Spatio-temporal dynamics Speaker recognition Speed estimation Split Stability Stationary points Statistical signal processing Stochastic resonance Sub-intrapersonal space analysis Support vector machine Support vector regression SVM Synfire chains
1475 1415 1723 1553 1540 1749 1458, 1475 1655 1475 1502 1467 1599 1754 1772 1772 1502 1553 1796 1688, 1754 1749 1691 1475
Tilt rotor aircraft Time delay Time-varying delays Top-down visual attention
1802 1645, 1776 1619 1723
Voronoi
1754
Wave propagation Wavelet packet transform Wiener systems
1599 1475 1467
Subject index to volume 69, Nos. 13–15 (2006) 2-Dimensional PCA 2-Dimensional FLD
1711 1711
3D ICA
1475
Active learning Adaptive control Addressing Almost periodic solution Associative memory
1691 1645 1637 1760 1637
Bayesian analysis Bias/variance decomposition Bifurcation Biomedical signal analysis Biometric system Black-box modeling Blind deconvolution Blind equalisation Blind Source Separation (BSS) Bottom-up saliency map Brain aging BSS
1796 1540 1628 1502 1670 1802 1467 1529 1415, 1425, 1458 1723 1553 1475
Diagonal FLD Dimensionality reduction Discrete Hopfield neural network Dynamic decay adjustment Dynamic sources
1711 1683, 1697 1665 1728 1475
EEG signal classification EM algorithm Ensemble of classifiers 1670, Equivariant Adaptive Separation via Independence (EASI) Evolutionary neural networks Expectation-maximization (EM) algorithm Exponential stability 1619,
1743 1513 1739 1415 1561 1659 1776
Face recognition 1678, 1683, 1697, 1711, 1796, 1806 FastICA algorithm 1782 Feature extraction 1697, 1806 Feature extractor 1743 Feed-forward neural networks 1540 Feedback error learning 1645 Feedforward controller 1645 FingerCode 1702 Fingerprint authentication 1702 Fingerprint 1706 Fisher discriminant analysis 1683 Fisher linear discriminant analysis (FLD) 1711 Fixed point theorem 1760 Functional magnetic resonance imaging (fMRI) 1502 Fusion of classifiers 1688 Fuzzy c-means 1570 Fuzzy cellular neural networks 1619 Fuzzy clustering 1570 Fuzzy K-nearest neighbor 1806 Fuzzy kernel linear discriminant analysis 1806
Cascade correlation CDMA receiver Cerebellum motor control Chaos Chromosomes Classification Classifier combination Cliques Clustering Coherent images Complex independent component analysis (complex ICA) Content addressable memory Convergence Convolution model Correlations Coupled learning rules Cross-correlation analysis
1802 1691 1645 1628 1739 1728 1678 1475 1608 1435 1502 1628 1772 1502 1637 1582 1561
Gaussian mixture Generalized Hopfield neural networks (GHNNs) Genetic algorithm (GA) Geodesic distance Gram–Schmidt method Guiding genetic algorithm (GGA)
1674 1760 1442, 1591 1768 1582 1442
Deflation Delayed AMUSE Denoising Dependency
1582 1485 1513 1513
Halanay inequality Hemodynamic response Hierarchical-Bayes model Higher order statistics (HOS)
1760 1502 1659 1425, 1442
0925-2312/$ - see front matter doi:10.1016/S0925-2312(06)00153-6
1816
Subject index / Neurocomputing 69 (2006) 1815–1816
Hopfield neural networks Hyperchaos
1787 1787
ICA 1475, 1513 Image recognition 1733 Image registration 1717 Image segmentation 1513 Image-based matcher 1702 Independent Component Analysis (ICA) 1415, 1425, 1435, 1442, 1458, 1529 Insect vision 1591 Integrate-and-fire neuron 1561 Interpretation 1754 Karyotype Kernel linear discriminant analysis Kernel LPP (KLPP) Kernel principal component analysis (KPCA) Kernel transform
1739 1806 1733 1733 1743
Least-squares support vector machines LGMD Linear regression models Linear rule LLE Local ICA Locality preserving projections (LPP) Locality-based learning Locust Lyapunov functional Lyapunov–Krasovskii functionals
1655 1591 1570 1754 1768 1485 1733 1697 1591 1776 1619
Machine learning Markov process Max-Cut problem Maximum a posteriori (MAP) estimation MIMO systems Model selection Motion detection Multi-matcher systems Multi-scale support vector regression (MS-SVR) Multi-value pattern recognition Multimodal fusion Multiplicative noise Mutual information
1678 1772 1665 1659 1529 1674 1599 1670 1659 1628 1706 1435 1442
Nearest neighbors Neural network Neural networks Neuromodulation Neurons Noisy dimensionality reduction Nonlinear Nonlinear dimensional data reduction Nonlinear dynamics Nonlinear measure Nonlinear processing Novelty detection Novelty scene detection Object recognition ODE
1608 1475, 1553, 1717 1637 1553 1475 1608 1513 1768 1665 1776 1467 1608 1723 1711 1772
Oja’s learning algorithm Ordering Orthogonal discriminant vectors Orthogonal frequency division multiplexing Orthonormalization Outlier detection
1717 1608 1683 1529 1582 1608
Palmprint recognition 1782 PBIL 1772 Peak-bifurcation plot 1787 Periodic solution 1619 Physicochemical properties of amino acids 1688 Primary visual cortex (VI) 1502 Principal Component Analysis (PCA) 1458, 1582, 1697, 1711, 1717, 1796 Projective subspace denoising embedding 1485 Propagation map 1599 Pruning 1728 Pruning method 1655 Pseudo-random numbers 1706 Radial basis function neural networks 1570 Radial basis probabilistic neural network (RBPNN) 1782 RBF networks 1728, 1749, 1802 Recognition rate 1782 Recurrent neural networks 1776 Regression 1749 Regularization theory 1674 SCA Score Function Difference (SFD) Selective attention Sensory detection Sequential approximations Software effort estimation Sparse ICA Sparse LS-SVM Spatio-temporal Spatio-temporal dynamics Speaker recognition Speed estimation Split Stability Stationary points Statistical signal processing Stochastic resonance Sub-intrapersonal space analysis Support vector machine Support vector regression SVM Synfire chains
1475 1415 1723 1553 1540 1749 1458, 1475 1655 1475 1502 1467 1599 1754 1772 1772 1502 1553 1796 1688, 1754 1749 1691 1475
Tilt rotor aircraft Time delay Time-varying delays Top-down visual attention
1802 1645, 1776 1619 1723
Voronoi
1754
Wave propagation Wavelet packet transform Wiener systems
1599 1475 1467