NDLI: Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378)

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Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378)

Neural Networks for Signal Processing VIII

KuicNet algorithms for blind deconvolution

Kuicnet Algorithms for Blind Deconvolution

On the stability of source separation algorithms

Convolutive blind source separation based on multiple decorrelation

A flexible non-linearity and decorrelating manifold approach to ICA

Bayesian blind marginal separation of convolutively mixed discrete sources

Independent component analysis: extrema-correspondence properties for higher-order moment functions

Removing electroencephalographic artifacts: comparison between ICA and PCA

A simple variable step algorithm for blind source separation (BSS)

Flexible independent component analysis

Blind equalization of SIMO channels via spatio-temporal anti-Hebbian learning rule

Asymmetric PCA neural networks for adaptive blind source separation

The effect of signal non-stationarity on the performance of information-maximisation-based blind separation

Blind deconvolution/equalization using state-space models

EM algorithms for independent component analysis

A general probabilistic formulation for neural classifiers

Learning from examples with quadratic mutual information

Experimental evaluation of latent variable models for dimensionality reduction

From an a priori RNN to an a posteriori PRNN nonlinear predictor

Adaptive metric kernel regression

Bayesian filtering for hidden Markov models via Monte Carlo methods

Clustering with kernel-based equiprobabilistic topographic maps

An empirical comparison of arc-cosine distance, generalised Fisher ratio and normalised entropy criteria for model selection

Stochastic approximation by neural networks using the Radon and wavelet transforms

Stochastic unobserved component models for adaptive signal extraction and forecasting

Partial likelihood for real-time signal processing with finite normal mixtures

Nonlinear state space learning with EM and neural networks

Volterra signal modelling using Lagrange programming neural networks

Split and merge EM algorithm for improving Gaussian mixture density estimates

Neural network regression with input uncertainty

Speeding up MLP execution by approximating neural network activation functions

Non-stationary signal analysis using temporal clustering

A reduced size lattice-ladder neural network

Designing the optimal structure of a neural filter

From data to nonlinear dynamics: a hierarchical Bayes approach with neural nets

Recursive structure estimation for nonlinear identification with modular networks

An heuristic pattern correction scheme for GRNNs and its application to speech recognition

On-line EM algorithm and reconstruction of chaotic dynamics

Kohonen networks and the influence of training on data structures

Sound monitoring based on the generalized probabilistic descent method

Combining neural networks and belief networks for image segmentation

Analysing time series structure with hidden Markov models

Morphing dynamical sound models

Time series forecasting with neural networks

Feature space embeddings for extracting structure from single channel wake EEG using RBF networks

Adaptive medical image visualization based on hierarchical neural networks and intelligent decision fusion

Static and dynamical systems approach to engine condition monitoring

A neural-network extension of the method of analogues for iterated time series prediction

Estimating boundary conditions of pharyngeal bolus movement by neural network inversion

Communication channel equalisation using minimal radial basis function neural networks

Unconstrained freehand-written Chinese characters recognition by self-growing probabilistic decision-based neural networks

Adaptive FIR filter use for signal noise cancelling

Face classification using a multiresolution principal component analysis

A comparison of a hardware and a software integrate and fire neural network for clustering onsets in cochlear filtered sound

Feature extraction technique for Hindi numerals

Online adaptive histogram equalization

Weightless neural nets for face recognition: a comparison

Exploiting the statistical characteristic of the speech signals for an improved neural learning in a MLP neural network

Postprocessing for image coding applications using neural network visual model

Structured neural network approach for measuring raindrop sizes and velocities

A neural architecture for the classification of remote sensing imagery with advanced learning algorithms

Towards a framework for combining stochastic and deterministic descriptions of nonstationary financial time series

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