|
regularization |
9 |
|
algorithms |
8 |
|
data mining |
8 |
|
toeplitz matrices |
8 |
|
classification |
7 |
|
computers |
7 |
|
deconvolution |
7 |
|
gene expression |
7 |
|
optimization |
7 |
|
brca1 |
6 |
|
brca1 protein - genetics |
6 |
|
brca2 |
6 |
|
brca2 protein - genetics |
6 |
|
breast cancer susceptibility gene |
6 |
|
breast neoplasms - genetics - pathology |
6 |
|
circulant matrix |
6 |
|
clustering |
6 |
|
deblurring |
6 |
|
gene mutation |
6 |
|
genetic predisposition to disease - genetics |
6 |
|
image restoration |
6 |
|
markov chain |
6 |
|
models, genetic |
6 |
|
open reading frames - genetics |
6 |
|
preconditioned conjugate gradient method |
6 |
|
preconditioners |
6 |
|
toeplitz matrix |
6 |
|
alternating minimization |
5 |
|
bioinformatics |
5 |
|
chromosome mapping - methods |
5 |
|
doppler broadening |
5 |
|
gene expression profiling - methods |
5 |
|
gene expression regulation |
5 |
|
humans |
5 |
|
hyperspectral imaging |
5 |
|
linear systems |
5 |
|
multivariate data |
5 |
|
patterned fabric inspection |
5 |
|
polymorphism, single nucleotide - genetics |
5 |
|
software |
5 |
|
steady-state probability distribution |
5 |
|
total variation |
5 |
|
animals |
4 |
|
artificial intelligence |
4 |
|
cluster analysis |
4 |
|
coincidence doppler broadening spectroscopy |
4 |
|
computational biology - methods |
4 |
|
denoising |
4 |
|
estimation |
4 |
|
fast fourier transform |
4 |
|
hidden markov model |
4 |
|
hyperspectral image (hsi) |
4 |
|
image reconstruction |
4 |
|
iterative methods |
4 |
|
markov chains |
4 |
|
models, statistical |
4 |
|
multivariate markov chains |
4 |
|
nonnegativity |
4 |
|
power method |
4 |
|
preconditioning |
4 |
|
snps |
4 |
|
subspace clustering |
4 |
|
alternating direction method of multipliers |
3 |
|
alternating direction methods |
3 |
|
block matrix |
3 |
|
categorical data |
3 |
|
categorical time series |
3 |
|
categorical variables |
3 |
|
computer simulation |
3 |
|
constraints |
3 |
|
convergence |
3 |
|
cosine transform |
3 |
|
cosine transform preconditioner |
3 |
|
data interpretation, statistical |
3 |
|
defect detection |
3 |
|
discrete cosine transform |
3 |
|
dna - chemistry |
3 |
|
dna mutational analysis - methods |
3 |
|
double-doppler |
3 |
|
drone/uav |
3 |
|
eigenvalues |
3 |
|
electronic data processing |
3 |
|
expressed sequence tags |
3 |
|
flower detection |
3 |
|
flower fraction |
3 |
|
gabor filter |
3 |
|
gaussian noise |
3 |
|
generalized least squares method |
3 |
|
gohberg-semencul formula |
3 |
|
green chromatic coordinate |
3 |
|
high-dimensional data |
3 |
|
high-resolution |
3 |
|
image decomposition |
3 |
|
image interpretation, computer-assisted |
3 |
|
information storage and retrieval |
3 |
|
instruments |
3 |
|
inverse filter |
3 |
|
leaf quality |
3 |
|
leaf quantity |
3 |
|
least absolute deviation |
3 |
|
least-squares method |
3 |
|
linear discriminant analysis |
3 |
|
linkage disequilibrium |
3 |
|
m-matrices |
3 |
|
machine learning |
3 |
|
mathematics |
3 |
|
multivariate |
3 |
|
mumford-shah model |
3 |
|
noise measurement |
3 |
|
noise reduction |
3 |
|
non-negativity constraints |
3 |
|
nonlinear image restoration |
3 |
|
nonnegative tensor |
3 |
|
oligonucleotide array sequence analysis - methods |
3 |
|
opsm |
3 |
|
order-preserving submatrix |
3 |
|
pattern recognition, automated |
3 |
|
pattern-based clustering |
3 |
|
patterned texture |
3 |
|
phenocam |
3 |
|
physics engineering |
3 |
|
polymorphism, single nucleotide |
3 |
|
prediction of demand |
3 |
|
proximal alternating minimization |
3 |
|
proximate remote sensing |
3 |
|
re-manufacturing systems |
3 |
|
residual networks |
3 |
|
resnet50 |
3 |
|
restoration |
3 |
|
richardson-lucy |
3 |
|
saddle point problem |
3 |
|
semantic segmentation |
3 |
|
sherman-morrison-woodbury formula |
3 |
|
single nucleotide polymorphism |
3 |
|
singular value decomposition |
3 |
|
sparsity |
3 |
|
stability |
3 |
|
stationary probability distribution |
3 |
|
stochastic processes |
3 |
|
super-resolution |
3 |
|
supervised learning |
3 |
|
tensor |
3 |
|
tensor completion |
3 |
|
tensor factorization |
3 |
|
texture analysis |
3 |
|
time series |
3 |
|
transition probability |
3 |
|
tropical forests |
3 |
|
tropical phenology |
3 |
|
unidimensional scaling |
3 |
|
uniform noise |
3 |
|
unsupervised learning |
3 |
|
wavelet transform |
3 |
|
3-d patches |
2 |
|
adaptive regularized least squares |
2 |
|
adaptive short time discrete fourier transform |
2 |
|
additives |
2 |
|
admm |
2 |
|
advertising model |
2 |
|
advertising wear out phenomenon |
2 |
|
alternating direction method |
2 |
|
approximate inverse-free preconditioners |
2 |
|
attributes weights |
2 |
|
audio-magnetotelluric (amt) |
2 |
|
augmented lagrangian |
2 |
|
background extraction |
2 |
|
banded matrices |
2 |
|
bias-correction |
2 |
|
blind deconvolution |
2 |
|
block diagonal |
2 |
|
block-diagonal |
2 |
|
block-toeplitz matrix |
2 |
|
blood proteins - analysis |
2 |
|
boolean network |
2 |
|
boundary conditions |
2 |
|
cancer |
2 |
|
carotid artery diseases - blood - diagnosis |
2 |
|
cartoon and texture |
2 |
|
categorical data sequences |
2 |
|
cell physiological phenomena |
2 |
|
challenges |
2 |
|
chromosome mapping - statistics & numerical data |
2 |
|
clustering algorithms |
2 |
|
clustering methods |
2 |
|
compound-eye |
2 |
|
compressed sensing |
2 |
|
compression |
2 |
|
computational biology |
2 |
|
computer engineering |
2 |
|
computer systems and computers |
2 |
|
constrained least squares |
2 |
|
constrained total-variation |
2 |
|
continuation |
2 |
|
control |
2 |
|
convex optimization |
2 |
|
convex programming |
2 |
|
correlated credit migrations |
2 |
|
credibility theory |
2 |
|
credit ratings |
2 |
|
customer lifetime value |
2 |
|
customers classification |
2 |
|
data assimilation |
2 |
|
data models |
2 |
|
databases, genetic |
2 |
|
deep learning (dl) |
2 |
|
deep plug-and-play prior |
2 |
|
demand prediction |
2 |
|
differential equations |
2 |
|
direct method |
2 |
|
discrete fourier transform |
2 |
|
discrete wavelet transforms |
2 |
|
discriminant analysis |
2 |
|
divide-and-conquer procedure |
2 |
|
document clustering |
2 |
|
domain adaptation |
2 |
|
double higher-order hidden markov model |
2 |
|
eigenpair |
2 |
|
eigenvalues and eigenfunctions |
2 |
|
eigenvectors |
2 |
|
epithelial-mesenchymal transition (emt) |
2 |
|
euler equations |
2 |
|
evolution, molecular |
2 |
|
fast cosine transform |
2 |
|
feature weighting |
2 |
|
finite difference method |
2 |
|
forward stable |
2 |
|
fourier transform |
2 |
|
gene expression regulation - physiology |
2 |
|
gene expression sequences |
2 |
|
gene frequency |
2 |
|
gene regulatory networks |
2 |
|
genes, regulator |
2 |
|
genetic markers |
2 |
|
genetic network |
2 |
|
genetic networks |
2 |
|
genetic regulatory network |
2 |
|
genome-wide association study |
2 |
|
genomics |
2 |
|
genomics - statistics & numerical data |
2 |
|
gmres |
2 |
|
haplotypes |
2 |
|
haplotypes - genetics |
2 |
|
hapmap |
2 |
|
heterogeneity |
2 |
|
high dimensional markov chains |
2 |
|
high resolution |
2 |
|
higher-order |
2 |
|
higher-order markov chain process |
2 |
|
higher-order markov chains |
2 |
|
higher-order markov decision process |
2 |
|
higher-order markov model |
2 |
|
hybrid regularization |
2 |
|
hyperspectral denoising |
2 |
|
hyperspectral destriping |
2 |
|
hyperspectral image (hsi) denoising |
2 |
|
hyperspectral imagery |
2 |
|
image fusion |
2 |
|
image processing |
2 |
|
incomplete cholesky factorization preconditioner |
2 |
|
inexact |
2 |
|
inexact computation |
2 |
|
information science and informaiton theory |
2 |
|
inpainting |
2 |
|
integral equations |
2 |
|
interior point method |
2 |
|
interpolation |
2 |
|
inverse preconditioners |
2 |
|
inverse problem |
2 |
|
inversion |
2 |
|
inversion formulas |
2 |
|
irreducible tridiagonal matrix |
2 |
|
iterative algorithm |
2 |
|
iterative algorithms |
2 |
|
iterative decoding |
2 |
|
iterative method |
2 |
|
iterative methods (mathematics) |
2 |
|
joint inversionresistivity |
2 |
|
joint minimization |
2 |
|
joint optimization |
2 |
|
k-means |
2 |
|
k-means algorithm |
2 |
|
k-means-type algorithm |
2 |
|
k-mode |
2 |
|
l1/2-regularization |
2 |
|
lanczos method |
2 |
|
laplace equations |
2 |
|
lattice |
2 |
|
ld |
2 |
|
least mixed norm |
2 |
|
least squares problem |
2 |
|
linear control |
2 |
|
linear programming |
2 |
|
linkage equilibrium |
2 |
|
loci |
2 |
|
logic |
2 |
|
long range dependence |
2 |
|
low rank |
2 |
|
low resolution |
2 |
|
low-rank |
2 |
|
low-rank tensor factorization |
2 |
|
l∞-norm constraint |
2 |
|
magnetotelluric |
2 |
|
manifolds |
2 |
|
markov model |
2 |
|
markov process |
2 |
|
mass spectrometry - methods |
2 |
|
mathematical models |
2 |
|
matrices |
2 |
|
matrix-vector multiplication |
2 |
|
median filter |
2 |
|
medical informatics - methods |
2 |
|
minimization |
2 |
|
minimization problem |
2 |
|
mining methods and algorithms |
2 |
|
missing data reconstruction |
2 |
|
models, biological |
2 |
|
monte carlo method |
2 |
|
monte carlo simulation |
2 |
|
motif |
2 |
|
motion estimation |
2 |
|
multidimensional data |
2 |
|
multigrid method |
2 |
|
multilevel matrices |
2 |
|
multiple sources |
2 |
|
multiplicative noise |
2 |
|
negative customer |
2 |
|
neoplasm proteins - metabolism |
2 |
|
neural networks (computer) |
2 |
|
newsboy's model |
2 |
|
nonlinear equations |
2 |
|
nonlinear unmixing |
2 |
|
nonsmooth and nonconvex optimization |
2 |
|
np-hard |
2 |
|
numerical analysis |
2 |
|
numerical range |
2 |
|
numerical variables |
2 |
|
operator splitting method |
2 |
|
optical aberrations |
2 |
|
optimal hidden economic states |
2 |
|
optimal transport |
2 |
|
overage cost |
2 |
|
parallel computation |
2 |
|
pattern recognition, automated - methods |
2 |
|
pbn |
2 |
|
peak detection |
2 |
|
perron-frobenius theorem |
2 |
|
phase-mask |
2 |
|
plug-and-play |
2 |
|
portfolio |
2 |
|
positron annihilation radiation spectroscopy |
2 |
|
preconditioned conjugate gradient |
2 |
|
preconditioned conjugate gradient methods |
2 |
|
probabilistic boolean network |
2 |
|
probabilistic booleon networks |
2 |
|
probability |
2 |
|
projected clustering |
2 |
|
proteomics - methods |
2 |
|
pulsation advertising policy |
2 |
|
quadrature rules |
2 |
|
quantitative trait loci - genetics |
2 |
|
quantization |
2 |
|
queueing problems |
2 |
|
queueing systems |
2 |
|
random forest |
2 |
|
reconstruction |
2 |
|
recursion |
2 |
|
recursive methods |
2 |
|
regime-switching |
2 |
|
regression |
2 |
|
relationship marketing |
2 |
|
remote sensing |
2 |
|
risk management |
2 |
|
rna-binding proteins (rbps) |
2 |
|
schur complement |
2 |
|
self-similarity |
2 |
|
self-supervised learning |
2 |
|
semi-smooth newton method |
2 |
|
semi-supervised learning |
2 |
|
sensitivity and specificity |
2 |
|
sequence analysis, dna - methods |
2 |
|
shortage cost |
2 |
|
signal and image processing |
2 |
|
signal transduction - genetics |
2 |
|
signal transduction - physiology |
2 |
|
single nucleotide polymorphisms |
2 |
|
skm-snp |
2 |
|
smile effect |
2 |
|
snp |
2 |
|
space-fractional diffusion equations |
2 |
|
sparse representation |
2 |
|
spectral radius |
2 |
|
spectral smile correction |
2 |
|
spot interest rates |
2 |
|
stationary distribution |
2 |
|
stochastic dynamic programming |
2 |
|
stratified sampling |
2 |
|
subtypes |
2 |
|
subtyping |
2 |
|
superresolution image reconstruction |
2 |
|
systems biology |
2 |
|
systems theory |
2 |
|
tensor decomposition |
2 |
|
tensor nuclear norm |
2 |
|
texture |
2 |
|
time dimension |
2 |
|
toeplitz matrices. |
2 |
|
toeplitz-like structure |
2 |
|
toeplitz-related matrices |
2 |
|
total-variation |
2 |
|
transcription factors - genetics |
2 |
|
transforms |
2 |
|
transition matrices |
2 |
|
travel time |
2 |
|
traveltime |
2 |
|
triangular toeplitz matrix |
2 |
|
undecimated wavelet transforml |
2 |
|
value-at-risk |
2 |
|
variable splitting method |
2 |
|
velocity |
2 |
|
video surveillance |
2 |
|
wavelet |
2 |
|
wavelet denoising |
2 |
|
wavelets |
2 |
|
weak markov chain process |
2 |
|
yeasts - genetics |
2 |
|
15a18 |
1 |
|
15a69 |
1 |
|
4d-var |
1 |
|
65f25 |
1 |
|
accuracy |
1 |
|
active learning |
1 |
|
adaptive filter |
1 |
|
adaptive weighted |
1 |
|
affinity calculation |
1 |
|
affinity propagation |
1 |
|
agglomerative |
1 |
|
air quality prediction |
1 |
|
algorithm |
1 |
|
alternating direction implicit iteration |
1 |
|
alternating directions method |
1 |
|
alternating iterative algorithm |
1 |
|
alternating minimization algorithm |
1 |
|
alternating minimization methods |
1 |
|
alternative directional multiplier method |
1 |
|
alternative minimization |
1 |
|
ams(mos) subject classification: 65f10, 65f15, 43e10 |
1 |
|
ams(mos) subject classifications: 45e10, 45l10, 65r20, 65j10 |
1 |
|
anomalous diffusion |
1 |
|
antitriangular schur form |
1 |
|
approximate inverse |
1 |
|
approximation |
1 |
|
arnoldi process |
1 |
|
atmospheric imaging |
1 |
|
attention |
1 |
|
attribute weighting |
1 |
|
augmented matrix |
1 |
|
autoregression models |
1 |
|
background |
1 |
|
bag weights estimation |
1 |
|
banded-splitting smoother |
1 |
|
bayesian methods |
1 |
|
between-class scatter |
1 |
|
bi-nuclear quasi-norm |
1 |
|
bicluster |
1 |
|
bilinear low rank matrix factorization (blrmf) |
1 |
|
bioimage segmentation |
1 |
|
biological data |
1 |
|
biological image segmentation |
1 |
|
biomolecular network analysis |
1 |
|
bit-depth expansion |
1 |
|
blind channel identification |
1 |
|
block laplacian matrix |
1 |
|
block lower triangular |
1 |
|
block lower triangular toeplitz matrix |
1 |
|
block preconditioner |
1 |
|
block successive overrelaxation |
1 |
|
block system of equations |
1 |
|
block triangular toeplitz-like matrix |
1 |
|
block two-by-two matrices |
1 |
|
block ε-circulant preconditioner |
1 |
|
block ϵ-circulant approximation |
1 |
|
block-toeplitz-toeplitz-block-like matrix |
1 |
|
blur |
1 |
|
blur removal |
1 |
|
bolus delay |
1 |
|
boundary value methods |
1 |
|
box constraints |
1 |
|
box-constraints |
1 |
|
brand switching |
1 |
|
buffer storage |
1 |
|
burgers equation |
1 |
|
cancer prediction |
1 |
|
canonical correlation analysis |
1 |
|
cardiopulmonary resuscitation |
1 |
|
cartoon |
1 |
|
categorical |
1 |
|
categorical datum |
1 |
|
character generation |
1 |
|
chromatic aberration |
1 |
|
circulant |
1 |
|
circulant integral operator |
1 |
|
circulant matrices |
1 |
|
circulant preconditioned conjugate gradient method |
1 |
|
circulant preconditioner |
1 |
|
circulant preconditioning |
1 |
|
circulant tensors |
1 |
|
classification accuracy |
1 |
|
cluster interpretation |
1 |
|
cluster numbers |
1 |
|
cluster procedure |
1 |
|
cluster tree |
1 |
|
cluster validation |
1 |
|
clustering of multiple graphs |
1 |
|
co-clustering |
1 |
|
co-occurrence data |
1 |
|
co-transfer learning |
1 |
|
coexpressed genes |
1 |
|
collective classification |
1 |
|
color |
1 |
|
color correction |
1 |
|
color image |
1 |
|
color image restoration |
1 |
|
color images |
1 |
|
color saturation |
1 |
|
color space |
1 |
|
color-to-grayscale |
1 |
|
colored noise |
1 |
|
colorization |
1 |
|
community |
1 |
|
compressive representation |
1 |
|
computational complexity |
1 |
|
computer architecture |
1 |
|
computer graphics |
1 |
|
concurrent computing |
1 |
|
condition estimation |
1 |
|
condition number |
1 |
|
condition numbers |
1 |
|
conjugate gradient (cg) method |
1 |
|
conjugate gradient for normal equations (cgne) method |
1 |
|
conjugate gradient method |
1 |
|
conjugate gradient squares method |
1 |
|
conjugate gradients |
1 |
|
consistent maximum likelihood estimation |
1 |
|
constrained total least squares |
1 |
|
constraint preconditioner |
1 |
|
constraint preconditioners |
1 |
|
constraint preconditioning |
1 |
|
continuation methods |
1 |
|
continuous time markov chain |
1 |
|
contraction |
1 |
|
contrast |
1 |
|
contrast enhancement |
1 |
|
convergence analysis |
1 |
|
convergence of gmres |
1 |
|
convergency |
1 |
|
convex function |
1 |
|
convexity |
1 |
|
convolutional neural network |
1 |
|
copy number variation |
1 |
|
correlation |
1 |
|
correlation methods |
1 |
|
cotransfer learning |
1 |
|
coupled markov chain |
1 |
|
coupled markov chains |
1 |
|
coupled total variation |
1 |
|
covariance matrix |
1 |
|
covid-19 |
1 |
|
cp decomposition |
1 |
|
crank–nicolson adi methods |
1 |
|
cumulant tensors |
1 |
|
curvature |
1 |
|
data analysis |
1 |
|
data clustering |
1 |
|
data integration |
1 |
|
data reduction |
1 |
|
data streams |
1 |
|
data warehouse |
1 |
|
dcc |
1 |
|
deblussing |
1 |
|
decision support systems-dss |
1 |
|
decision trees |
1 |
|
decolorization |
1 |
|
decompression |
1 |
|
deep learning |
1 |
|
deep reinforcement learning |
1 |
|
denoising neural network |
1 |
|
dense region |
1 |
|
dense regions discovery |
1 |
|
diagonal matrix |
1 |
|
diagonal-times-toeplitz matrices |
1 |
|
diagonalization |
1 |
|
dictionary |
1 |
|
dictionary learning |
1 |
|
dictionary learning (dl) |
1 |
|
dimension reduction |
1 |
|
dimensional factorization |
1 |
|
dimensional splitting |
1 |
|
dimensionality reduction |
1 |
|
direct methods |
1 |
|
directed cyclic network (dcn) |
1 |
|
directed hypergraph |
1 |
|
discrete maximum principle |
1 |
|
discrete transform |
1 |
|
discretization |
1 |
|
discriminative topic |
1 |
|
displacement kernel |
1 |
|
displacement rank |
1 |
|
displacement structure |
1 |
|
divide-and-conquer method |
1 |
|
divide-and-conquer strategy |
1 |
|
domain decomposition |
1 |
|
domain ontology |
1 |
|
domain selection |
1 |
|
double markovian regime-switching model |
1 |
|
doubly stochastic matrices |
1 |
|
drazin inverse |
1 |
|
drug–target interaction prediction |
1 |
|
dual problem |
1 |
|
edge-preserving |
1 |
|
eigenvalue and eigenvector |
1 |
|
eigenvalue bound |
1 |
|
eigenvalue bounds |
1 |
|
eigenvalue distribution |
1 |
|
electrical engineering |
1 |
|
electromagnetic cavity |
1 |
|
electronics engineering - electrical engineering |
1 |
|
energy functional |
1 |
|
engineering |
1 |
|
ensemble classifier |
1 |
|
ensemble kalman filter |
1 |
|
ensemble methods |
1 |
|
error bound |
1 |
|
esscher transform |
1 |
|
euler lagrange equation |
1 |
|
exotic options |
1 |
|
exponential decay |
1 |
|
fast fourier transforms |
1 |
|
fast sine transform |
1 |
|
fast solver |
1 |
|
feature evaluation and selection |
1 |
|
feature extraction |
1 |
|
feature group |
1 |
|
feature selection |
1 |
|
feature weight |
1 |
|
feedback |
1 |
|
filter matrices |
1 |
|
finite impulse response (fir) system identification |
1 |
|
finite impulse response filter |
1 |
|
finite volume methods |
1 |
|
first order perturbation bound |
1 |
|
fmri |
1 |
|
foley-sammon transform |
1 |
|
foreground |
1 |
|
fractional diffusion equation |
1 |
|
fractional diffusion equations |
1 |
|
fractional partial differential equations |
1 |
|
fractional sub-diffusion equations |
1 |
|
framelet |
1 |
|
fredholm equations |
1 |
|
functional linear regression |
1 |
|
functional module identification |
1 |
|
fuzzy k-means clustering |
1 |
|
fuzzy membership function |
1 |
|
fuzzy membership functions |
1 |
|
fuzzy modeling |
1 |
|
fuzzy partitioning |
1 |
|
fuzzy sets |
1 |
|
g-norm |
1 |
|
gait recognition |
1 |
|
galerkin projection |
1 |
|
galerkin projection methods |
1 |
|
gamma correction |
1 |
|
gene coexpression networks |
1 |
|
gene ontology (go) |
1 |
|
gene regulatory network |
1 |
|
gene selection |
1 |
|
gene-mirna network |
1 |
|
generalized cross validation |
1 |
|
generalized cross validation (gcv) |
1 |
|
generalized foley-sammon transform |
1 |
|
generating function |
1 |
|
genome-wide |
1 |
|
genomic data |
1 |
|
geometric knowledge |
1 |
|
gibbs oscillation |
1 |
|
global convergence |
1 |
|
gmres method |
1 |
|
gohberg--semencul formula |
1 |
|
gradient |
1 |
|
gradient method |
1 |
|
graph |
1 |
|
graph bi-laplacian |
1 |
|
graph convolutional network |
1 |
|
graph laplacian |
1 |
|
graph signal processing |
1 |
|
graph-based model |
1 |
|
graphical model |
1 |
|
group inverse |
1 |
|
h1n1 |
1 |
|
half-quadratic regularization |
1 |
|
hankel matrix |
1 |
|
hedge weighting |
1 |
|
helmholtz equation |
1 |
|
hermitian and skew-hermitian splitting method |
1 |
|
hermitian matrix |
1 |
|
heterogeneous domain adaptation |
1 |
|
heterogeneous transfer learning |
1 |
|
heterogeneous transfer learning (htl) |
1 |
|
heuristics |
1 |
|
hierarchical clustering |
1 |
|
high dimensional data |
1 |
|
high dynamic range |
1 |
|
high-dynamic range imaging |
1 |
|
high-order finite difference schemes |
1 |
|
high-order quadrature |
1 |
|
high-order singular value decomposition |
1 |
|
high-resolution image reconstruction |
1 |
|
higher order singular value decomposition |
1 |
|
histogram equalization |
1 |
|
histogram transfer |
1 |
|
homography |
1 |
|
huber norm |
1 |
|
huber prior |
1 |
|
hybrid approach |
1 |
|
hypergraph |
1 |
|
hyperspectral data |
1 |
|
hyperspectral face recognition |
1 |
|
hyperspectral image analysis |
1 |
|
hyperspectral image unmixing |
1 |
|
hyperspectral images (hsis) denoising |
1 |
|
illumination |
1 |
|
ilu |
1 |
|
image annotation |
1 |
|
image blending |
1 |
|
image classification |
1 |
|
image colorization |
1 |
|
image compression |
1 |
|
image deconvolution |
1 |
|
image denoising |
1 |
|
image enhancement |
1 |
|
image gradients |
1 |
|
image recovery |
1 |
|
image retrieval |
1 |
|
image segmentation |
1 |
|
image stitching |
1 |
|
imbalanced classification |
1 |
|
implicit linear initial value problem |
1 |
|
implicit linear multistep formulas |
1 |
|
impulse noise |
1 |
|
in-hospital cardiac arrest |
1 |
|
incremental linear discriminant analysis (ilda) |
1 |
|
incremental regularized least squares |
1 |
|
incremental tensor |
1 |
|
indefinite toeplitz systems |
1 |
|
index |
1 |
|
inexact iterations |
1 |
|
information retrieval |
1 |
|
initial value problems |
1 |
|
intelligent systems |
1 |
|
interactive |
1 |
|
inverse |
1 |
|
inverse positive matrix |
1 |
|
inverse problems |
1 |
|
irreducible |
1 |
|
irreducible tensor |
1 |
|
it z-eigenvalue |
1 |
|
joint distribution |
1 |
|
joint probability graph |
1 |
|
jordan canonical form |
1 |
|
jpeg |
1 |
|
k-means clustering |
1 |
|
k-modes |
1 |
|
k-modes cluster |
1 |
|
kernel |
1 |
|
kernel density estimation |
1 |
|
kernel functions |
1 |
|
knn |
1 |
|
knowledge-based vsm |
1 |
|
kolmogorov’s backward equations |
1 |
|
kronecker product |
1 |
|
krylov space |
1 |
|
krylov subspace iterative solver |
1 |
|
krylov subspace method |
1 |
|
krylov subspace methods |
1 |
|
kullback-leibler divergence |
1 |
|
kurdyka-łojasiewicz property |
1 |
|
kurdykalojasiewicz inequality |
1 |
|
l norm data fidelity 1 |
1 |
|
label dependency |
1 |
|
label ranking |
1 |
|
label transfer |
1 |
|
labels propagation |
1 |
|
labels ranking |
1 |
|
lad |
1 |
|
lagrange multiplier |
1 |
|
lasso |
1 |
|
latent image bases |
1 |
|
learned dictionaries |
1 |
|
learned dictionary |
1 |
|
learning rate |
1 |
|
least squares |
1 |
|
least squares estimations |
1 |
|
least squares method |
1 |
|
least squares problems |
1 |
|
least squares regression |
1 |
|
limiting probability distribution vector |
1 |
|
linear discriminant analysis (lda). |
1 |
|
linear inverse problems |
1 |
|
linear models |
1 |
|
linear multistep formulas in bv form |
1 |
|
linear prediction |
1 |
|
linear spectral unmixing |
1 |
|
linear system |
1 |
|
lipschitz regulation |
1 |
|
lms-newton adaptive filter algorithm |
1 |
|
local adaptation |
1 |
|
local hyperplane |
1 |
|
local mass conservative form |
1 |
|
local modularity |
1 |
|
low contrast |
1 |
|
low-rank approximation |
1 |
|
low-rank tensor recovery |
1 |
|
low-resolution image categorization |
1 |
|
lsqr |
1 |
|
m-matrix |
1 |
|
machine-learning methods |
1 |
|
manifold learning |
1 |
|
manifold regularization |
1 |
|
map |
1 |
|
markov chain with restart |
1 |
|
mask function |
1 |
|
matrix algebra |
1 |
|
matrix computation |
1 |
|
matrix differentiation |
1 |
|
matrix functions |
1 |
|
matrix preconditioner |
1 |
|
matrix recovery |
1 |
|
matrix splitting |
1 |
|
maximum a posteriori estimation |
1 |
|
maximum likelihood estimation |
1 |
|
maximum mean discrepancy |
1 |
|
medical image classification |
1 |
|
medical images |
1 |
|
medical imaging |
1 |
|
medium field |
1 |
|
methodology |
1 |
|
metric learning |
1 |
|
meyer's model |
1 |
|
microarray |
1 |
|
microscopy images |
1 |
|
minimal polynomial |
1 |
|
minimal positive solution |
1 |
|
mode |
1 |
|
modis images |
1 |
|
module detection |
1 |
|
module identification |
1 |
|
moore-penrose inverse |
1 |
|
mortality risk |
1 |
|
mover-stayer model |
1 |
|
mr perfusion |
1 |
|
mri |
1 |
|
multi-class |
1 |
|
multi-densities |
1 |
|
multi-dimension |
1 |
|
multi-dimensional network |
1 |
|
multi-dimensional networks |
1 |
|
multi-domain association |
1 |
|
multi-instance learning |
1 |
|
multi-instance multi-label data |
1 |
|
multi-instance multi-label learning |
1 |
|
multi-label |
1 |
|
multi-label classification |
1 |
|
multi-label collective classification |
1 |
|
multi-label learning |
1 |
|
multi-phase texture segmentation |
1 |
|
multi-relational data |
1 |
|
multi-view |
1 |
|
multi-view clustering |
1 |
|
multiband matrices |
1 |
|
multidimensional query language |
1 |
|
multidimensional shrinkage |
1 |
|
multidomain |
1 |
|
multidomain classification |
1 |
|
multigrid |
1 |
|
multilabel learning |
1 |
|
multilinear pagerank |
1 |
|
multilinear pagerank vector |
1 |
|
multiphase |
1 |
|
multiphase region competition |
1 |
|
multiple graphs clustering |
1 |
|
multiple graphs cut |
1 |
|
multiple images |
1 |
|
multiple linear systems |
1 |
|
multiple mover-stayer model |
1 |
|
multiple networks |
1 |
|
multiplicative half-quadratic regularization |
1 |
|
multistochastic tensors |
1 |
|
multivariate polynomial equation |
1 |
|
multiview clustering |
1 |
|
navier-stokes equations |
1 |
|
nearest neighbor |
1 |
|
neonatal |
1 |
|
network integration |
1 |
|
networks |
1 |
|
neumann boundary condition |
1 |
|
neural network |
1 |
|
neurons |
1 |
|
newton method |
1 |
|
newton's iteration |
1 |
|
non-convex model |
1 |
|
non-hermitian matrix |
1 |
|
non-iid sampling |
1 |
|
non-lipschitz |
1 |
|
non-local |
1 |
|
non-negative tensor |
1 |
|
non-normal innovations |
1 |
|
non-rectangular domain |
1 |
|
non-symmetric toeplitz matrices |
1 |
|
nonconvex and nonsmooth |
1 |
|
nonconvex data fitting |
1 |
|
nonconvex nonsmooth global minimization |
1 |
|
nonconvex nonsmooth regularization |
1 |
|
nonlinear network inference |
1 |
|
nonlinearity |
1 |
|
nonlocal total variation |
1 |
|
nonlocal variational model |
1 |
|
nonnegative data |
1 |
|
nonnegative irreducible matrix |
1 |
|
nonnegative matrix |
1 |
|
nonnegative matrix factorization |
1 |
|
nonnegative tensors |
1 |
|
nonparametric approach |
1 |
|
nonseparable variable coefficients |
1 |
|
nonsmooth and nonconvex |
1 |
|
nonsmooth and nonconvex analysis |
1 |
|
nonsmooth and nonconvex minimization |
1 |
|
nonsmooth optimization |
1 |
|
nonsymmetric algebraic riccati equation |
1 |
|
nonsymmetric indefinite systems |
1 |
|
nonsymmetric toeplitz matrices |
1 |
|
normal |
1 |
|
normal matrix |
1 |
|
nuclear norm |
1 |
|
nuclear norm regularization |
1 |
|
number of clusters |
1 |
|
numeric data |
1 |
|
numerical methods for option pricing |
1 |
|
numerical solution of differential equations |
1 |
|
olap algebra |
1 |
|
one-sided space-fractional derivative |
1 |
|
online learning |
1 |
|
operations research in telecommunications |
1 |
|
operator splitting |
1 |
|
opinion mining |
1 |
|
optimal solutions |
1 |
|
optimisation |
1 |
|
option valuation |
1 |
|
ordinal scales |
1 |
|
orthogonal nonnegative matrix factorization |
1 |
|
orthogonality |
1 |
|
oseen problem |
1 |
|
outlier detection |
1 |
|
outliers |
1 |
|
overlapping clustering |
1 |
|
pagerank |
1 |
|
pan-sharpening |
1 |
|
parallel algorithms |
1 |
|
parameter estimation |
1 |
|
partial bidiagonalization |
1 |
|
partial magnitudes |
1 |
|
patched-tubes |
1 |
|
pcb insertion |
1 |
|
peaceman–rachford splitting method |
1 |
|
penalty methods |
1 |
|
periodic eigenproblem |
1 |
|
permanent |
1 |
|
permutation tensors |
1 |
|
perron complement and perron root |
1 |
|
perron vector |
1 |
|
personal communication networks |
1 |
|
perturbation |
1 |
|
perturbation analysis |
1 |
|
perturbation bound |
1 |
|
peturbation bound |
1 |
|
phase retrieval |
1 |
|
plug-and-play framework |
1 |
|
poisson noise |
1 |
|
poisson singular integral |
1 |
|
polar decomposition |
1 |
|
polynomial approximation |
1 |
|
population genetics |
1 |
|
preconditioned conjugate-gradient-type method |
1 |
|
preconditioner |
1 |
|
prediction |
1 |
|
pregnancy |
1 |
|
primal-dual algorithm |
1 |
|
primitive tensor |
1 |
|
principal component analysis |
1 |
|
probabilistic boolean network (pbn) model |
1 |
|
probabilistic boolean networks |
1 |
|
problem solving |
1 |
|
production |
1 |
|
production sequencing |
1 |
|
prognosis |
1 |
|
projection method |
1 |
|
projections |
1 |
|
properties of minimizers |
1 |
|
proximal linearized minimization |
1 |
|
proximal operators |
1 |
|
proximal optimization |
1 |
|
quadratic convergence |
1 |
|
quadratic programming |
1 |
|
quadratures |
1 |
|
quantitative perfusion analysis |
1 |
|
quaternion |
1 |
|
quaternion svd |
1 |
|
random blurring function |
1 |
|
random forest classifier |
1 |
|
random forests |
1 |
|
random walk |
1 |
|
random walk with restart |
1 |
|
rank deficient |
1 |
|
ranking |
1 |
|
rate of convergence |
1 |
|
rational function |
1 |
|
rectangular matrices |
1 |
|
rectangular tensors |
1 |
|
recursive least squares |
1 |
|
recursive-based method |
1 |
|
reflectance |
1 |
|
region competition |
1 |
|
registration |
1 |
|
regression models |
1 |
|
regularization parameters |
1 |
|
regularized least squares |
1 |
|
relations ranking |
1 |
|
relief |
1 |
|
representation learning |
1 |
|
reproducing kernel hilbert space |
1 |
|
residual learning |
1 |
|
restricted isometry property |
1 |
|
retinex |
1 |
|
robust matrix factorization |
1 |
|
robust tensor completion |
1 |
|
rosc |
1 |
|
scalability |
1 |
|
segmentation |
1 |
|
selective segmentation |
1 |
|
semantic relationship |
1 |
|
semantic similarity measure |
1 |
|
semismooth newton's methods |
1 |
|
semisupervised learning |
1 |
|
sentiment analysis |
1 |
|
sentiment lexicon |
1 |
|
sentiment lexicon construction |
1 |
|
separable |
1 |
|
sequencing |
1 |
|
sessions |
1 |
|
shrunken |
1 |
|
shrunken centroid |
1 |
|
signal and image restoration |
1 |
|
signal prediction |
1 |
|
signal processing |
1 |
|
signed graph |
1 |
|
significant snp selection |
1 |
|
sinc method |
1 |
|
sinc-galerkin discretization |
1 |
|
sinc-galerkin methods |
1 |
|
sine transform matrix |
1 |
|
skew-circulant |
1 |
|
skew-hermitian matrix |
1 |
|
sliding windows |
1 |
|
snr |
1 |
|
space-fractional diffusion equations krylov subspace methods |
1 |
|
space–time fractional partial differential equation |
1 |
|
sparse and redundant representations |
1 |
|
sparse recovery |
1 |
|
spatial regularization |
1 |
|
spatially variant |
1 |
|
spatially varying regularization parameters |
1 |
|
spatially-variant operator |
1 |
|
spectral analysis |
1 |
|
spectral clustering |
1 |
|
spectral clustering (sc) |
1 |
|
spectral mixture analysis |
1 |
|
spectral projection |
1 |
|
splitting |
1 |
|
splitting iteration method |
1 |
|
splittings |
1 |
|
stability and convergence analysis |
1 |
|
state-space model subnetwork mining |
1 |
|
statistics |
1 |
|
stochastic tensor |
1 |
|
structural similarity index |
1 |
|
structured matrices |
1 |
|
structured total least squares |
1 |
|
student's t-test |
1 |
|
subspace learning |
1 |
|
subspace structure |
1 |
|
successive overrelaxation |
1 |
|
super-resolution algorithm |
1 |
|
super-resolution image reconstruction |
1 |
|
superlinear convergence |
1 |
|
superresolution |
1 |
|
supervised dimensionality reduction |
1 |
|
support |
1 |
|
surface treatment |
1 |
|
survival |
1 |
|
svm |
1 |
|
symmetric indefinite systems |
1 |
|
symmetric orthogonal |
1 |
|
symmetric tensors |
1 |
|
tabu search |
1 |
|
tangential frequency filtering decomposition |
1 |
|
tensor block coordinate descent |
1 |
|
tensor equation |
1 |
|
tensor low rank model |
1 |
|
tensor representation |
1 |
|
tensor singular value decomposition |
1 |
|
tensors |
1 |
|
term similarity |
1 |
|
testing |
1 |
|
text categorization |
1 |
|
text clustering |
1 |
|
text mining |
1 |
|
text-to-image |
1 |
|
textures |
1 |
|
the trace ratio optimization problem |
1 |
|
third-order tensor analysis |
1 |
|
three-dimensional displays |
1 |
|
thresholding |
1 |
|
tikhonov regularization |
1 |
|
time dependent pdes |
1 |
|
time-dependent partial differential equation |
1 |
|
time-dependent space-fractional diffusion equation |
1 |
|
time-space fractional diffusion equations |
1 |
|
time–space fractional diffusion equation |
1 |
|
toeplitz |
1 |
|
toeplitz least squares problems |
1 |
|
toeplitz systems |
1 |
|
toeplitz tensors |
1 |
|
toeplitz-block matrix |
1 |
|
toeplitz-like matrices |
1 |
|
toeplitz-like matrix |
1 |
|
toeplitz-plus-diagonal matrices |
1 |
|
toeplitzlike matrix |
1 |
|
tone mapping |
1 |
|
tools |
1 |
|
topic model |
1 |
|
total least squares |
1 |
|
total variation (tv) |
1 |
|
total variation regularization |
1 |
|
total variational |
1 |
|
total variational regularization |
1 |
|
transductive learning |
1 |
|
transfer learning |
1 |
|
transferred weight |
1 |
|
transform approximation |
1 |
|
transformation function |
1 |
|
transformed tensor singular value decomposition |
1 |
|
transition probability matrix |
1 |
|
transition probability tensor |
1 |
|
transition probability tensors |
1 |
|
transitive transfer learning |
1 |
|
travelling salesman |
1 |
|
tree classifier |
1 |
|
truncated structured tucker machine |
1 |
|
tubal rank |
1 |
|
tucker decomposition |
1 |
|
two dimensional displays |
1 |
|
two-dimensional time-dependent nonlocal problems |
1 |
|
unconditional stability analysis |
1 |
|
uniqueness |
1 |
|
unitary transform |
1 |
|
unlabeled data |
1 |
|
unsymmetric block (almost) toeplitz linear systems |
1 |
|
user access patterns |
1 |
|
variable coecients |
1 |
|
variable coefficients |
1 |
|
variable diffusion coefficients |
1 |
|
variable weighting |
1 |
|
variable-splitting |
1 |
|
variance maximization |
1 |
|
variational approach |
1 |
|
variational fusion model |
1 |
|
variational method |
1 |
|
variational methods |
1 |
|
variational model |
1 |
|
vertical transmission |
1 |
|
visual tensors |
1 |
|
visual tracking |
1 |
|
wasserstein distance |
1 |
|
waveform relaxation |
1 |
|
waveform relaxation method |
1 |
|
wavelet shrinkage |
1 |
|
weather forecast |
1 |
|
web information system |
1 |
|
web mining |
1 |
|
website topology |
1 |
|
weighted least squares problem |
1 |
|
weighted pseudoinverse |
1 |
|
weighted regularized total least squares |
1 |
|
weighted tikhonov regularization |
1 |
|
weighted toeplitz matrices |
1 |
|
weighting |
1 |
|
weighting mask functions |
1 |
|
wiener--hopf equations |
1 |
|
wiener-hopf equation |
1 |
|
windowing methods |
1 |
|
within-class scatter |
1 |
|
z-matrix |
1 |
|
zoom super-resolution reconstruction |
1 |
|
κ-means |
1 |
|
κ-modes algorithm |
1 |
|
ℓ -norm ∞ |
1 |
|
ℓ data fitting 1 |
1 |
|
ℓ1−ℓ2 minimization |
1 |
