Evoked Potentials
Blind source separation
Time series prediction
Computer-Assisted
Additives
Medical signal processing
Kernel machines
Health care
Adaptation models
Heart
Electroencephalography
Machine learning
Nonlinear models
Covariance analysis
Nonlinear systems
Iterative methods
Autoregressive model
Noyaux analyse fonctionnelle
Autoregressive processes
High dimensional feature space
Hyperspectral image analysis
Estimation
Fault detection
ECG signals
Espaces de Hilbert
Yule-Walker equations
Biomedical sensors
Séries chronologiques
Pre-image technique
Humans
Hilbert spaces
Additive update rule
Reproducing kernel Hilbert space
Fixed-point iterative method
Hyperspectral imaging
Hyperspectral
Absorption
Prediction
Expected kernels
Fault diagnosis
Conformal map
Unmixing problem
Brain Mapping
Computational modeling
EEG
Automated
Multiclass
Healthcare monitoring applications
Time series
Covariance function
ERP
Predictive models
Polynomials
Autoregressive technique
Autoregressive model nonlinear extension
Electrocardiography
Hilbert space
Image processing technique
Bioinformatics
Hyperspectral data
Wireless sensor networks
Event-related potentials
Biosensors
Time series analysis
Brain models
Mathematical model
Kernel machine
Additive weight algorithm
Feature extraction
Gradient-based algorithm
Nonnegative matrix factorization
Diagnosis
Fault estimation
Convergence speed
Classification automatique
Constraint
Non-negativity
Kernel
Autoregressive modeling
Automatic classification
Apprentissage automatique
Nonlinear system
Hyperspectral image
Heat absorption problems
Energy consumption
Optimization
Pattern recognition
Brain
Image processing
Equations
Data modelling
Electrocardiogram modeling
Computational complexity
Traitement du signal
Auxiliary structural constraints
Reconnaissance des formes informatique
Pre-image problem
Body area networks
Adaptive filtering
Image recognition
Convergence
Kernel principal component analysis
Feature space
Signal processing
Fault isolation
Support vector machines
Gradient methods