07091oam 2200445zu 450 991087263860332120241212214909.010.1109/NNSP.1997(CKB)111026746720592(SSID)ssj0000455183(PQKBManifestationID)12203239(PQKBTitleCode)TC0000455183(PQKBWorkID)10415616(PQKB)11767116(NjHacI)99111026746720592(EXLCZ)9911102674672059220160829d1997 uy engur|||||||||||txtccr1997 IEEE Workshop on Neural Networks for Signal Processing[Place of publication not identified]IEEE19971 online resource (680 pages)Bibliographic Level Mode of Issuance: Monograph9780780342569 0780342569 Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop -- Chaos, radar clutter, and neural networks -- Nonparametric regression modeling with topographic maps as a basis for lossy image compression -- Entropy manipulation of arbitrary nonlinear mappings -- Adaptive regularization of neural classifiers -- Remembering the past: the role of embedded memory in recurrent neural network architectures -- Low sensitivity time delay neural networks with cascade form structure -- Novel projection pursuit indices for feature extraction and classification: An inter-comparison in a remote sensing application -- Optimal feature extraction techniques to improve classification performance, with application to sonar signals -- On estimation of nonlinear black-box models: how to obtain a good initialization -- Interpretation of recurrent neural networks -- Extracting the relevant delays in time series modelling -- Combined learning and use for classification and regression models -- Reducing false alarm risk in transient signal classification -- Multiple and time-varying dynamic modelling capabilities of recurrent neural networks -- Induced specialization of context units for temporal pattern recognition and reproduction -- Uniform approximation and the complexity of neural networks -- Neural Networks for Medical Image Processing -- Mixture of discriminative learning experts of constant sensitivity for automated cytology screening -- Dynamics modelling in brain circulation -- A multiple-classifier architecture for ECG beat classification -- Applying neural networks to adjust insulin-pump doses -- MR brain image classification by multimodal perceptron tree neural network -- Texture analysis and artificial neural network for detection of clustered microcalcifications on mammograms -- Neural nets in boundary tracing tasks -- Neurocomputing applications in post-operative liver transplant monitoring -- Classification and compression of ICEGS using Gaussian mixture models -- Adaptive control in anaesthesia -- Wavelet characteristics of early vision -- Neural Networks and Gradient-Based Learning in OCR -- The gamma MLP-using multiple temporal resolutions for improved classification -- A deterministic annealing approach to discriminative hidden Markov model design -- An improved training algorithm for support vector machines -- Classification with linear networks using an online constrained LDA algorithm -- Combination of adaptive signal processing and neural classification using an extended backpropagation algorithm -- Wave propagation as a neural coupling mechanism: hardware for self-organizing feature maps and the representation of temporal sequences -- On-line adaptive algorithms in non-stationary environments using a modified conjugate gradient approach -- Segmentation and identification of drifting dynamical systems -- An improved scheme for the fuzzifier in fuzzy clustering -- Separable non-linear least-squares minimization-possible improvements for neural net fitting -- Training recurrent networks -- Combining discriminant-based classifiers using the minimum classification error discriminant -- Cross-entropy based pruning of the hierarchical mixtures of experts -- Blind separation of noisy mixtures -- One-unit contrast functions for independent component analysis: a statistical analysis -- Feature extraction approach to blind source separation -- Blind source separation of nonlinear mixing models -- Blind source separation: are information maximization and redundancy minimization different? -- Blind signal deconvolution by spatio-temporal decorrelation and demixing -- Multichannel blind separation and deconvolution of sources with arbitrary distributions -- Recurrent canonical piecewise linear network: theory and application -- Blind source separation and deconvolution by dynamic component analysis -- Neural dual extended Kalman filtering: applications in speech enhancement and monaural blind signal separation -- Bayesian Ying-Yang learning based ICA models -- A neural network approach to blind source separation -- A unifying criterion for blind source separation and decorrelation: simultaneous diagonalization of correlation matrices -- Neural Networks for Intelligent Multimedia Processing -- Nonlinear prediction of chaotic time series using support vector machines -- A DCT-based adaptive metric learning model using asymptotic local information measure -- Sub-word speaker verification using data fusion methods -- A chaotic annealing neural network and its application to direction estimation of spatial signal sources -- A neural network equalizer with the fuzzy decision learning rule -- Application of the block recursive least squares algorithm to adaptive neural beamforming -- Nonlinear committee pattern classification -- Unsupervised speaker classification using self-organizing maps (SOM) -- A self-scaling neural hardware structure that reduces the effect of some implementation errors -- Application of neural networks to the problem of forecasting the flow of the River Nile -- Robustness of a chaotic modal neural network applied to audio-visual speech recognition -- Applying neural networks and other AI techniques to fault detection in satellite communication systems -- Multi-linguistic handwritten character recognition by Bayesian decision-based neural networks -- Neural networks for engine fault diagnostics -- Locally recurrent networks with multiple time-scales -- Medical image analysis by probabilistic modular neural networks -- Author index.This workshop is designed to serve as a regular forum universities and industry who are interested in interdisciplinary research on neutral networks for signal processing applications.Neural networks (Computer science)CongressesSignal processingCongressesNeural networks (Computer science)Signal processing006.32PQKBBOOK99108726386033211997 IEEE Workshop on Neural Networks for Signal Processing2520076UNINA