The proceedings contain 65 papers. The topics discussed include: local linear ICA for mutual information estimation in feature selection;a proposal for blind FIR equalization of time-varying channels;overcomplete blin...
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ISBN:
(纸本)0780395174
The proceedings contain 65 papers. The topics discussed include: local linear ICA for mutual information estimation in feature selection;a proposal for blind FIR equalization of time-varying channels;overcomplete blind source separation by combining ICA and binary time-frequency masking;ICA by maximization of nongaussianity using complex functions;blind source separation and sparse bump modelling of time frequency representation of EEG signals: New tools for early detection of Alzheimer's disease;implementing nonlinear algorithm in multimicrophone signalprocessing;multi-scale kernel methods for classification;a robust linear programming based boosting algorithm;automatic determination of the number of clusters using spectral algorithms;an extension of iterative scaling for joint decision-level and feature-level fusion in ensemble classification;and supervised neural network training using the minimum error entropy criterion with variable-size and finite-support kernel estimates.
The 21st ieee International workshop on machinelearning for signalprocessing will be held in Beijing, China, on September 18-21, 2011. The workshop series is the major annual technical event of the ieeesignal Proce...
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The proceedings contain 80 papers from the conference on machinelearning for signalprocessing XIV - Proceedings of the 2004 ieeesignalprocessing Society workshop. The topics discussed include: a criteria for model...
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ISBN:
(纸本)0780386086
The proceedings contain 80 papers from the conference on machinelearning for signalprocessing XIV - Proceedings of the 2004 ieeesignalprocessing Society workshop. The topics discussed include: a criteria for model-robust design of experiments;learning-based visual localization using formal concept lattices;modeling and control of unknown chaotic systems via multiple models;recursive principal component analysis using eigenvector matrix perturbation;towards a unification of information theoretic learning and kernel methods;adaptive learning for the neural classifier based on Fisher criterion;and computational intelligence applied to signalprocessing: a proposal for fuzzy neural identification.
The proceedings contain 78 papers. The topics discussed include: complex-valued adaptive signalprocessing : recent advances in optimization and statistical characterization;group independent component analysis for fM...
ISBN:
(纸本)9781424449484
The proceedings contain 78 papers. The topics discussed include: complex-valued adaptive signalprocessing : recent advances in optimization and statistical characterization;group independent component analysis for fMRI data and ICA for joint inference of imaging, genetic, and ERP data;cognitive components of digital media;introduction to the special session : new trends in Markov models and related learning to restore data;learning in Markov models;learning theory and modeling;machinelearning in remote sensing data processing;scene variability and perception constancy in the visual system : a model of pre-processing before data analysis and learning;learning theory, Bayesian learning and modeling;introduction to the special session : brain-computer interfaces;learning theory and applications in speech and audio processing;kernel machines and their applications;and biomedical applications.
The proceedings contain 91 papers. The topics discussed include: online function minimization with convex random relu expansions;text to image generative model using constrained embedding space mapping;identification ...
ISBN:
(纸本)9781509063413
The proceedings contain 91 papers. The topics discussed include: online function minimization with convex random relu expansions;text to image generative model using constrained embedding space mapping;identification of a thermal building model by learning the dynamics of the solar flux;mutual singular spectrum analysis for bioacoustics classification;Hankel subspace method for efficient gesture representation;texture classification from single uncalibrated images: random matrix theory approach;Gaussian density guided deep neural network for single-channel speech enhancement;and a recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation.
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