NDLI: Wavelet characteristics of early vision

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2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing

Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584)

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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 VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop

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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

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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