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Nonlinear data description with Principal Polynomial Analysis

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Nonlinear data description with Principal Polynomial Analysis

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Planar arrangement of high-dimensional biomedical data sets by Isomap coordinates

Planar arrangement of high-dimensional biomedical data sets by isomap coordinates

Face Detection using SVM Trained in Eigenfaces Space

Offline Cursive Word Recognition using Continuous Density Hidden Markov Models trained with PCA or ICA Features

PCA in Autocorrelation Space

Transforming the feature vectors to improve HMM based cursive word recognition systems

Covariance Kernels from Bayesian Generative Models

Multiresolution Moment Filters

Offline Cursive Word Recognition using Continuous Density Hidden Markov Models trained with PCA or ICA Features

Mixture models for unsupervised and supervised learning

Face Detection using SVM Trained in Eigenfaces Space

Offline Cursive Word Recognition using Continuous Density Hidden Markov Models trained with PCA or ICA Features

Offline Cursive Word Recognition using Continuous Density Hidden Markov Models trained with PCA or ICA Features

Mixture models for unsupervised and supervised learning

PCA in Autocorrelation Space

Transforming the feature vectors to improve HMM based cursive word recognition systems

Multiresolution Moment Filters

Planar arrangement of high-dimensional biomedical data sets by Isomap coordinates

Covariance Kernels from Bayesian Generative Models

Planar arrangement of high-dimensional biomedical data sets by isomap coordinates