List of Abbreviations
- ACD
- anomalous change detection
- AL
- active learning
- ALD
- approximate linear dependency
- AP
- access point
- AR
- autoregressive
- ARCH
- autoregressive conditional heteroscedasticity
- ARMA
- autoregressive and moving average
- ARX
- autoregressive exogenous
- AUC
- area under the (ROC) curve
- AVIRIS
- Airborne Visible Infrared Imaging Spectrometer
- BCI
- brain–computer interface
- BER
- bit error rate
- BG
- Bernouilli–Gaussian
- BRT
- bootstrap resampling techniques
- BSS
- blind source separation
- BT
- breaking ties
- CCA
- canonical correlation analysis
- CDMM
- color Doppler M mode
- CESNI
- continuous‐time equivalent system for nonuniform interpolation
- CG
- conjugate gradient
- CI
- confidence interval
- CNS
- cardiac navigation system
- COCO
- constrained covariance
- CS
- compressive sensing
- CV
- cross‐validation
- DCT
- discrete cosine transform
- DFT
- discrete Fourier transform
- DMGF
- double modulated Gaussian function
- DOA
- direction of arrival
- DSM
- dual signal model
- DSP
- digital signal processing
- DWT
- discrete wavelet transform
- EAM
- electroanatomical map
- EC
- elliptically contoured
- ECG
- electrocardiogram
- EEC
- error correction code
- EEG
- electroencephalogram
- EM
- expectation–maximization
- ESD
- energy spectral density
- FB‐KRLS
- fixed budget kernel recursive least squares
- FFT
- fast Fourier transform
- FIR
- finite impulse response
- FT
- Fourier transform
- GM
- Gaussian mixture
- GMM
- Gaussian mixture model
- GP
- Gaussian process
- GPR
- Gaussian process regression
- GRNN
- generalized regression neural network
- HRCN
- high reliability communications network
- HRV
- heart rate variability
- HSCA
- Hilbert–Schmidt component analysis
- HSIC
- Hilbert–Schmidt independence criterion
- i.i.d.
- independent and identically distributed
- ICA
- independent component analysis
- ICF
- incomplete Cholesky factorization
- IIR
- infinite impulse response
- IMSE
- integrated mean square error
- IPM
- interior point method
- IRWLS
- integrated reweighted least squares
- KACD
- kernel anomaly change detection
- KAF
- Kalman adaptive filtering
- KDE
- kernel density estimation
- KDR
- kernel dimensionality reduction
- KECA
- kernel entropy component analysis
- KEMA
- kernel manifold alignment
- KF
- Kalman filter
- KFD
- kernel Fisher discriminant
- KGV
- kernel generalized variance
- KICA
- kernel independent component analysis
- KKT
- Karush–Kuhn–Tucker
- KL
- Kullback–Leibler
- KLMS
- kernel least mean squares
- kMI
- kernel mutual information
- KMM
- kernel mean matching
- KNLMS
- kernel normalized least mean squares
- KOSP
- kernel orthogonal subspace projection
- KPCA
- kernel principal component analysis
- KRLS
- kernel recursive least squares
- KRLS‐T
- kernel recursive least square tracker
- KRR
- kernel ridge regression
- KSAM
- kernel spectral angle mapper
- KSNR
- kernel signal‐to‐noise regression/ratio
- KTA
- kernel–target alignment
- LapSVM
- Laplacian support vector machine
- LASSO
- least absolute shrinkage and selection operator
- LDA
- linear discriminant analysis
- LFD
- linear Fisher discriminant
- LI
- linear interpolation
- LMF
- large margin filtering
- LMS
- least mean squares
- LOO
- leave‐one‐out
- LS
- least squares
- LS‐SVM
- least‐squares support vector machine
- LTI
- linear time invariant
- LUT
- look‐up table
- MA
- moving average
- MAE
- mean absolute error
- MAO
- most ambiguous and orthogonal
- MAP
- maximum a posteriori
- MCLU
- multiclass level uncertainty
- MCMC
- Markov chain–Monte Carlo
- MERIS
- medium resolution imaging spectrometer
- MIMO
- multiple input–multiple output
- MKL
- multiple kernel learning
- ML
- maximum likelihood
- MLP
- multilayer perceptron
- MMD
- maximum mean discrepancy
- MMDE
- maximum mean discrepancy embedding
- MMSE
- minimum mean square error
- MNF
- minimum noise fraction
- MPDR
- minimum power distortionless response
- MRI
- magnetic resonance imaging
- MS
- margin sampling
- MSE
- mean square error
- MSSF
- modulated squared sinc function
- MSVR
- multioutput support vector regression
- MUSIC
- multiple signal classification
- MVA
- multivariate analysis
- MVDR
- minimum variance distortionless response
- NN
- neural network
- NORMA
- naive online regularized risk minimization algorithm
- NW
- Nadayara–Watson
- OA
- overall accuracy
- OAA
- one against all
- OAO
- one against one
- OC‐SVM
- one class support vector machine
- OFDM
- orthogonal frequency division multiplexing
- OKECA
- optimized kernel entropy component analysis
- OSP
- orthogonal subspace projection
- PCA
- principal component analysis
- PCK
- probabilistic cluster kernel
- probability density function
- PLS
- partial least squares
- PSD
- power spectral density
- PSM
- primal signal model
- PSVM
- parallel support vector machine
- QAM
- quadrature amplitude modulation
- QKLMS
- quantified kernel least mean squares
- QP
- quadratic programming
- QPSK
- quadrature‐phase shift keying
- RBF
- radial basis function
- RHSIC
- randomized Hilbert–Schmidt independence criterion
- RKHS
- reproducing kernel in Hilbert space
- RKS
- random kitchen sink
- RLS
- recursive least squares
- RMSE
- root mean square error
- ROC
- receiver operating characteristic
- RSM
- reproducing kernel in Hilbert space signal model
- RSS
- received signal strength
- RV
- relevance vector
- RVM
- relevance vector machine
- S/E
- signal to error
- SAM
- spectral angle mapper
- SDP
- semi‐definite program
- SE
- squared exponential
- SMO
- sequential minimal optimization
- SNR
- signal‐to‐noise ratio
- SOGP
- sparse online Gaussian process
- SOM
- self‐organizing map
- SR
- semiparametric regression
- SRM
- structural risk minimization
- SSL
- semisupervised learning
- SSMA
- semisupervised manifold alignment
- STFT
- short‐time Fourier transform
- SVC
- support vector classification
- SVD
- singular value decomposition
- SVDD
- support vector domain description
- SVM
- support vector machine
- SVR
- support vector regression
- SW‐KRLS
- sliding window kernel recursive least squares
- TCA
- transfer component analysis
- TFD
- time–frequency distribution
- TSVM
- transductive support vector machine
- WGP
- warped Gaussian process
- WGPR
- warped Gaussian process regression
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.