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