Table of contents
IEEE Transactions on Signal Processing publication information
Message from the Editor-in-Chief: Best Paper Award Recipients
Guest Editorial: Special Issue on Machine Learning Methods in Signal Processing
Sparse Bayesian learning for basis selection
Online learning with kernels
Linear minimax regret estimation of deterministic parameters with bounded data uncertainties
Learning graphical models for stationary time series
Stochastic correlative learning algorithms
Geodesic entropic graphs for dimension and entropy estimation in manifold learning
A variational approach for Bayesian blind image deconvolution
Nonparametric hypothesis tests for statistical dependency
Kernel-based feature extraction with a speech technology application
TEMPLAR: a wavelet-based framework for pattern learning and analysis
The kernel recursive least-squares algorithm
Iterative learning algorithms for linear Gaussian observation models
SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems
Likelihood based hierarchical clustering
Minimum probability of error image retrieval
Efficient adaptive algorithms and minimax bounds for zero-delay lossy source coding
Applications of support vector machines to speech recognition
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