Volume 69, Numbers 1-3, December 2005
Neural Networks in Signal Processing
, Tom Heskes
: Novel approximations for inference in nonlinear dynamical systems using expectation propagation.
, Zhi-Hua Zhou
: (2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition.
, Loris Nanni
: Multihashing, human authentication featuring biometrics data and tokenized random number: A case study FVC2004.
: Hyperplanes for predicting protein-protein interactions.
Volume 69, Numbers 4-6, January 2006
: Exponential stability and periodic oscillatory of bi-directional associative memory neural network involving delays.
: Local regularization assisted orthogonal least squares regression.
Volume 69, Numbers 7-9, March 2006
New Issues in Neurocomputing:
13th European Symposium on Artificial Neural Networks
Jochen J. Steil
: Online stability of backpropagation-decorrelation recurrent learning.
: Efficient estimation of multidimensional regression model using multilayer perceptrons.
, Xin Yao
: Evolving hybrid ensembles of learning machines for better generalisation.
, Xianfa Jiao
: Stochastic model and neural coding of large-scale neuronal population with variable coupling strength.
: An ensemble of classifiers for the diagnosis of erythemato-squamous diseases.
, Alessandra Lumini
: A novel method for fingerprint verification that approaches the problem as a two-class pattern recognition problem.
: Ensemble of classifiers for protein fold recognition.
: A reliable method for the diagnosis of gastric carcinoma.
: Machine learning algorithms for T-cell epitopes prediction.
: Experimental comparison of one-class classifiers for online signature verification.
, Zhang Yi
: Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction.
, Zhang Yi
: Extraction of a source signal whose kurtosis value lies in a specific range.
, Jun Ma
: An efficient simulated annealing algorithm for the minimum vertex cover problem.
, Chia-Jui Chang
: Erratum to "Tracking control based on neural network strategy for robot manipulator" by R.-J. Wai: [Neurocomputing 51 (2003) 425-445].
, Jiangliang Lai
: Erratum to: 'Geometrical learning, descriptive geometry, and biomimetic pattern recognition' by S. Wang and J. Lai [Neurocomputing 67 (2005) 9-28].
Volume 69, Numbers 10-12, June 2006
Trends in Research 2006
: Computational Neuroscience: Trends in Research 2006.
Cellular and biophysical models
: A parallel and efficient algorithm for multicompartment neuronal modelling.
Robert L. Fry
: Dual-matching as a problem solved by neurons.
, Yair Manor
: Role of frequency-dependent weighing of inputs on frequency regulation of a pacemaker-driven rhythm.
, David Horn
: Spatiotemporal clustering of synchronized bursting events in neuronal networks.
: Influence of the neural network topology on the learning dynamics.
Coding and optimal processing
, Nihat Ay
: A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions.
: Model of CA1 place field formation with CA3 lesioned.
: Computational harmonic analysis for human and robotic vision systems.
Cognitive neuroscience and imaging
: Extraction of an activity pattern language from EEG data.
Alan H. Bond
: Brain mechanisms for interleaving routine and creative action.
Data analysis and software
Volume 69, Numbers 13-15, August 2006
Blind Source Separation and Independent Component Analysis - Selected papers from the ICA 2004 meeting, Granada, Spain
, Te-Won Lee
: Capturing nonlinear dependencies in natural images using ICA and mixture of Laplacian distribution.
, René Alquézar
: A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies.
: First-order approximation of Gram-Schmidt orthonormalization beats deflation in coupled PCA learning rules.
, Jinde Cao
, Jianming Deng
: Exponential stability and periodic solutions of fuzzy cellular neural networks with time-varying delays.
V. V. Smirnov
: A generalized addressing concept for correlative memory and neural networks.
: An improved discrete Hopfield neural network for Max-Cut problems.
: An iterative algorithm for entropy regularized likelihood learning on Gaussian mixture with automatic model selection.
, Alessandra Lumini
: MppS: An ensemble of support vector machine based on multiple physicochemical properties of amino acids.
, Loris Nanni
: An advanced multi-modal method for human authentication featuring biometrics data and tokenised random numbers.
, Minho Lee
: Selective attention-based novelty scene detection in dynamic environments.
, Renzo Perfetti
: Improved pruning strategy for radial basis function networks with dynamic decay adjustment.
: A reliable method for designing an automatic karyotyping system.
, Jinde Cao
: Stability in static delayed neural networks: A nonlinear measure approach.
, Xiao-Song Yang
: Hyperchaos and bifurcation in a new class of four-dimensional Hopfield neural networks.
Volume 69, Numbers 16-18, October 2006
Brain Inspired Cognitive Systems - Selected papers from the 1st International Conference on Brain Inspired Cognitive Systems (BICS 2004)
Il Song Han
: Mixed-signal neuron-synapse implementation for large-scale neural network.
: A model of agent consciousness and its implementation.
: Adaptive multiple sets of CSS features for hand posture recognition.
, Lihong Huang
: Global exponential stability of BAM neural networks with recent-history distributed delays and impulses.
, Qing Song
: Dynamic pruning algorithm for multilayer perceptron based neural control systems.
, Jun Saiki
: Stochastic saliency-based search model for search asymmetry with uncertain targets.
, Wansheng Tang
: Existence and exponential stability of periodic solution for BAM neural networks with periodic coefficients and delays.
, Christian W. Dawson
: The effect of different basis functions on a radial basis function network for time series prediction: A comparative study.
: Parallel reinforcement learning using multiple reward signals.
: Margin-based wrapper methods for gene identification using microarray.
: Finding cancer subtypes in microarray data using random projections.
: A variational method for learning sparse Bayesian regression.
Hazem M. El-Bakry
: New fast time delay neural networks using cross correlation performed in the frequency domain.
, De-Shuang Huang
: Improved extreme learning machine for function approximation by encoding a priori information.
, Baotong Cui
: New LMI conditions for delay-dependent asymptotic stability of delayed Hopfield neural networks.
: Combining labeled and unlabeled data with graph embedding.
: An advanced multi-matcher method for on-line signature verification featuring global features and tokenised random numbers.
, Kevin Ho
: On-line estimation of the final prediction error via recursive least-squares method.
: A novel ensemble of classifiers for protein fold recognition.
, Jun Wu
: Global optimal ICA and its application in MEG data analysis.
, Elisa Ricci
: Reduced complexity RBF classifiers with support vector centres and dynamic decay adjustment.