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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Sparse matrices
biblio
Compressive Sensing Based Feature Residual for Image Steganalysis Detection
Submitted by grigby1 on Tue, 05/01/2018 - 11:33am
image colour analysis
wavelet transforms
steganography detection
Steganography
steganalytic method
steganalysis
Sparse Representation
Sparse matrices
pubcrawl
privacy
Metrics
matrix algebra
image steganalysis detection
image representation
Image detection
image content feature analysis
BCS measurement matrix
grayscale image processing
GGD model
generalized Gaussian distribution model
gaussian distribution
Feature residual
feature extraction
DLWT coefficients
discrete wavelet transforms
directional lifting wavelet transform
Databases
compressive sensing based feature residual analysis
compressive sensing
compressed sensing
composability
block CS measurement matrix
biblio
Random Projection Data Perturbation Based Privacy Protection in WSNs
Submitted by grigby1 on Tue, 02/06/2018 - 2:04pm
PPND algorithm
wireless sensor networks
telecommunication security
Sparse projection data perturbation
Sparse matrices
SMART algorithm
security
Resiliency
random projection data perturbation based privacy protection
pubcrawl
privacy protection requirements
privacy preserving
pre-distribution random number
Algorithm design and analysis
node privacy
Network reconnaissance
network coverage area
data traffic
data privacy protection mechanism
data privacy
Data integration
data fusion technology
data fusion algorithm
data fusion
Conferences
biblio
A secure steganography algorithm using compressive sensing based on HVS feature
Submitted by grigby1 on Thu, 12/28/2017 - 1:36pm
secure steganography algorithm
Metrics
Policy-Governed Secure Collaboration
pubcrawl
Resiliency
Robustness
Scalability
Science of Security
secret messages
Image coding
security
Sparse matrices
steganographic technology
Steganography
stego image
stego object
Subsampling
Visual systems
data encapsulation
Bit Correction Rate
carrier object
collaboration
composability
compressed sensing
compressive sensing
compressive sensing technology
Cryptography
BCR
Data mining
digital image
discrete cosine transforms
Human behavior
Human Factors
human visual system features
HVS
HVS feature
biblio
Performance challenges for heterogeneous distributed tensor decompositions
Submitted by grigby1 on Thu, 12/28/2017 - 1:17pm
pubcrawl
MPI
multi-threading
multidimensional arrays
OpenMP threads
parallel factorization
parallel processing
parallel programming
parallelization
performance evaluation
Metrics
ReFacTo
Signal processing algorithms
Sparse matrices
sparse matrix-vector multiplications
SpMV
Tensile stress
tensor decomposition
tensors
graphics processing units
canonical decomposition
Compositionality
CP-ALS
cuSPARSE library
decomposition
DeFacTo
distributed memory
distributed memory systems
gpu
alternating least squares fitting
heterogeneous distributed tensor decompositions
large-scale data analytics
Least squares approximations
Libraries
math kernel library
Matrix decomposition
matrix multiplication
message passing
biblio
"A fast procedure for acquisition and reconstruction of magnetic resonance images using compressive sampling"
Submitted by grigby1 on Tue, 02/21/2017 - 12:44pm
random matrix
Matching pursuit algorithms
matrix algebra
median filtering
median filters
orthogonal matching pursuit
orthogonal matching Pursuit algorithm
Protons
pubcrawl170104
magnetic resonance imaging
recovery noise artifact suppression
restricted isometry property
sensors
sparse magnetic resonance image reconstruction
sparse magnetic resonance image sensing
Sparse matrices
sparsity
approximation theory
incoherent k-space data undersampling
incoherence
image sampling
Image reconstruction
image filtering
image denoising
Image coding
Haar transforms
Haar transform coefficients
data acquisition
compressive sampling theory
compressive sampling
compressible magnetic resonance image reconstruction
compressible magnetic resonance image acquisition
compressed sensing
biblio
"Visual tracking based on compressive sensing and particle filter"
Submitted by grigby1 on Tue, 02/21/2017 - 12:37pm
particle filter
visual tracking
target tracking
Sparse matrices
random projection
pubcrawl170104
pose variation
Particle filters
particle filtering (numerical methods)
Classification algorithms
image filtering
image classification
illumination variation
filtering algorithms
feature extraction
compressive sensing theory
compressed sensing
biblio
"On compressed sensing image reconstruction using linear prediction in adaptive filtering"
Submitted by grigby1 on Tue, 02/21/2017 - 12:35pm
Noise
Wiener filters
Stochastic processes
spatial domain adaptive Wiener filter
sparsity
Sparse matrices
sensors
Robbins-Monro stochastic approximation
random noise
pubcrawl170104
Prediction algorithms
prediction
Nyquist rate requirement
nonparametric approach
adaptive filter
MRI
Modified-RM approximation
magnetic resonance imaging
Image reconstruction
distance based linear prediction
CS reconstruction problem
compressive sampling
compressed sensing
Approximation methods
Approximation algorithms
adaptive filters
adaptive filtering
biblio
Surveillance video analysis using compressive sensing with low latency
Submitted by BrandonB on Fri, 05/01/2015 - 9:33am
Sparse decomposition
wavelet transforms
wavelet frame domain
Wavelet domain
video surveillance
video frames
Video communication
surveillance video analysis
surveillance
Streaming media
Sparse matrices
background segmentation
Object recognition
Matrix decompoistion
LRSD
low rank and sparse decomposition
low latency method
image segmentation
image motion analysis
compressive sensing
compressed sensing
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