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2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)

2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

2012 IEEE International Workshop on Machine Learning for Signal Processing

2011 IEEE International Workshop on Machine Learning for Signal Processing

2010 IEEE International Workshop on Machine Learning for Signal Processing

2009 IEEE International Workshop on Machine Learning for Signal Processing

2008 IEEE Workshop on Machine Learning for Signal Processing

2007 IEEE Workshop on Machine Learning for Signal Processing

2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing

MLSP 2006 Technical Committee

Table of contents

Signal Detection, Pattern Recognition and Classification

Building Efficient Radial Basis Function Kernel Classifiers using Iterative Methods

The Correntropy Mace Filter for Image Recognition

Constraint-Based, Transductive Learning for Distributed Ensemble Classification

Use Your Powers Wisely: Resource Allocation in Parallel Channels

Gibbsboost: a Boosting Algorithm using a Sequential Monte Carlo Approach

Automatic Image Classification by a Granular Computing Approach

Blind Signal Separation I

A Least Absolute Bound Approach to ICA - Application to the MLSP 2006 Competition

A Joint Probabilistic-Deterministic Approach using Source-Filter Modeling of Speech Signal for Single Channel Speech Separation

Wavelet Based Nonlinear Separation of Images

Flexible ICA in Complex and Nonlinear Environment by Mutual Information Minimization

Separating Nonlinear Image Mixtures using a Physical Model Trained with ICA

Blind Signal Separation II

Blind Separation of Positive Dependent Sources by Non-Negative Least-Correlated Component Analysis

Adaptable Nonlinearity for Complex Maximization of Nongaussianity and a Fixed-Point Algorithm

Gradient and Fixed-Point Complex ICA Algorithms Based on Kurtosis Maximization

Towards Adaptive Blind Extraction of Post-Nonlinearly Mixed Signals

Subspace-Based Blind Identification of IIR Systems

Underdetermined Blind Source Separation Based on Generalized Gaussian Distribution

Bayesian Learning and Modeling

Bayesian Estimation of Time Delays Between Unevenly Sampled Signals

Fast Factorization-Based Inference for Bayesian Harmonic Models

Generative Models that Discover Dependencies Between Data Sets

Map Model Selection for Context Trees

A Novel Algorithm for Moving Objects Recognition Based on Sparse Bayesian Classification

Universal Context Tree PTH-Order Least Squares Prediction

Learning Theory and Modeling

Signal Theory for SVM Kernel Parameter Estimation

Information Theoretic Mean Shift Algorithm

An Information Theoretic Perspective to Kernel K-Means

A Fixed-Point Minimum Error Entropy Algorithm

Online Detection of the Nature of Complex-Valued Signals

Error Entropy, Correntropy and M-Estimation

Automatically Correcting Bias in Speaker Recognition Systems

Designing a Multi Trial Classifier for EEG Signals: Classifying Rhythms Perceived

A Boosting Method with Gaussian Mixtures as Base Learners in a Low-Dimension Space

Factorized Edgeworth-Expanded Gaussians in Topographicmap Formation

Parameter Estimation for Manifold Learning, Through Density Estimation

Scale Estimation for Kernel-Based Classification

A Fast Algorithm for ICA Deduced from a Closed-Form Solution of Kurtosis Maximization

EKF Based Multiple Parameter Tuning System for a L2-SVM Classifier

Experimental Upper Bound for Convolutive Mixtures of Speech by Maximizing SIR

Online Learning with Kernels a New Approach for Sparsity Control Based on a Coherence Criterion

Ordinal Least Squares Support Vector Machines - A Discriminant Analysis Approach

A Hybrid Neural Network for Language Identification from Text

Sparse Feature Extraction using Generalised Partial Least Squares

Exploring Ranklets Performances in Mammographic Mass Classification using Recursive Feature Elimination

Channel Shortening of Multi-Input Multi-Output Convolutive Systems with Binary Sources

Parallel Linear Hashtable Motion Estimation Algorithm

Newton-Like Methods for Parallel Independent Component Analysis

Biclustering Gene Expression Profiles by Alternately Sorting with Weighted Correlated Coefficient

Using Neural-Networks to Reduce Entity State Updates in Distributed Interactive Applications

Learning Minimum Volume Sets with Support Vector Machines

Frequency-Domain Normalized Multichannel Blind Deconvolution for Convolutive Speech Mixtures: Modifications and Properties

Novel Clustering Algorithm (RACAL) and a Partial Supervision Strategy for Classification

Active Bayesian Mixture Learning for Image Modeling and Segmentation using Lowlevel Features

Classification of Hazelnut Kernels by Impact Acoustics

Optimal Strategies for Mobile Robots Based on the Cross-Entropy Algorithm

A Hybrid Metric Estimation/Learning Model for K-NN Classifier

Comparison of Two Feature Extraction Methods Based on Maximization of Mutual Information

Maximum Entropy Approximation for Kernel Machines

Adaptive Demosaicking using Multiple Neural Networks

Using Multiresolution Space-Time-Frequency Features for the Classification Motor Imagery Eeg Recordings in a Brain Computer Interface Task

Towards Qualitative Assessment of Machine Learning Algorithms: Utilising Signal Modality Characterisation

Automated Classification of Bipolar, Schizophrenic, and Healthy Individuals Via Multiple Spatial ICA Functional Brain `Modes'

Biomedical Engineering and Bioinformatics

Independently Coupled HMM Switching Classifier for a Bimodel Brain-Machine Interface

On the Use of KPCA to Extract Artifacts in One-Dimensional Biomedical Signals

Eukaryotic Protein Subcellular Localization Based on Local Pairwise Profile Alignment SVM

Independent Component Analysis of Simulated 2D Electrophoresis Gels

Speech, Image and Video Processing

MLSP Data Analysis Competition 2006: Denoising of Magnetoencephelographic Data

Robust Optic Flow Computation with Support Vector Regression

Robust Diffusion Kernels for Optical Flowsmoothing

Linear Program Differentiation for Single-Channel Speech Separation

Convolutive Non-Negative Matrix Factorisation with a Sparseness Constraint

Probabilistic Feature Transformation for Channel Robust Speaker Verification

Applications of Machine Learning

Robust Volume Control Personalisation from on-Line Preference Feedback

Non-Negative Matrix Factorization for Note Onset Detection of Audio Signals

Spectrum Classification for Early Fault Diagnosis of the LP Gas Pressure Regulator Based on the Kullback-Leibler Kernel

A Hybrid Unsupervised Clustering Algorithm for Channel Equalization

Super-Resolution using Neural Networks Based on the Optimal Recovery Theory

2005 IEEE Workshop on Machine Learning for Signal Processing

Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004.

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