Sparse matrices

biblio

Decision Fusion Based on Joint Low Rank and Sparse Component for Hyperspectral Image Classification

Submitted by grigby1 on Fri, 07/03/2020 - 3:54pm

Hyperspectral imaging
SVM classifier
Support vector machines
Sparse matrices
Sparse and low rank matrix decomposition
rank component
pubcrawl
principal component analysis
pattern classification
Metrics
Matrix decomposition
low rank matrix decomposition
image fusion
Compositionality
hyperspectral imagery
hyperspectral image classification
hyperspectral data
feature extraction
discriminative information
DFJLRS
decomposition
decision fusion based on joint low rank and sparse component method
decision fusion
data structures
cyber physical systems

biblio

Anomaly Detection in Network Traffic Using Dynamic Graph Mining with a Sparse Autoencoder

Submitted by grigby1 on Fri, 07/03/2020 - 3:54pm

outlier error values
highly structured adjacency matrix structures
increasing sparseness
learning (artificial intelligence)
Matrix decomposition
Metrics
network based attacks
network emulator
network security
network traffic
online learning algorithm
original adjacency matrix
Heuristic algorithms
pubcrawl
representative ecommerce traffic
Resiliency
resultant adjacency matrix
serious economic consequences
singular value decomposition
sparse autoencoder
Sparse matrices
telecommunication traffic
time 225.0 min
decomposition
autoencoder hyper-parameters
Bipartite graph
composability
Compositionality
Computer crime
computer network security
contiguous time intervals
cyber physical systems
Data mining
DDoS Attacks
anomaly detection algorithm
dynamic bipartite graph increments
dynamic graph
dynamic graph mining
dynamic network traffic
Dynamic Networks and Security
ecommerce websites
error distribution
GAAD
gaussian distribution
graph theory

biblio

Targeted Poisoning Attacks on Social Recommender Systems

Submitted by aekwall on Mon, 03/23/2020 - 12:31pm

computer security
Human Factors
Information systems
Motion pictures
optimization
pubcrawl
recommender systems
Resiliency
Scalability
Social network services
Sparse matrices

biblio

Compressive Sensing and Hyper-Chaos Based Image Compression-Encryption

Submitted by grigby1 on Tue, 12/10/2019 - 10:21am

Hyper-chaos
Two dimensional displays
Sparse matrices
sparse coefficients
security
Resiliency
resilience
pubcrawl
privacy
matrix algebra
Logistics
linear measurements
Image reconstruction
Image coding
hyper-chaos based image compression-encryption algorithm
hyper-chaos based diffusion
2D-Compressive Sensing
encryption
data compression
cyber physical systems
Cyber Physical System
Cryptography
compressive sensing
compressive sampling
compression-encryption algorithm
Compression
compressed sensing
composability
cipher image
chaotic communication
chaos based measurement matrix construction
chaos

biblio

Compressive Detection of Random Signals from Sparsely Corrupted Measurements

Submitted by grigby1 on Tue, 12/10/2019 - 10:21am

privacy
testing
Task Analysis
sparsely corrupted measurements
Sparse matrices
sparse error
signal reconstruction
signal processing tasks
signal processing
signal detection problem
signal detection
Resiliency
resilience
random signals
pubcrawl
composability
Noise
Detectors
detection
dense noise
data amount
cyber physical systems
Cyber Physical System
Current measurement
CSP techniques
CS reconstruction
compressive sampling
compressive detection problem
Compressive detection
compressed sensing

biblio

Coding Theorem for Systematic LDGM Codes Under List Decoding

Submitted by aekwall on Mon, 03/18/2019 - 8:49am

ensembles
BIOS Security
systematic low density generator matrix codes
systematic LDGM codes
spatial coupling
Sparse matrices
parity check codes
negligible rate loss
low density generator matrix (LDGM) codes
list decoding
linear codes
iterative decoding
iterative belief propagation decoding algorithm
Generators
frame error rate
error statistics
Scalability
concatenated codes
concatenated code
coding theorem
channel coding
channel capacity
capacity-approaching
capacity-achieving codes
capacity-achieving
Bit error rate
binary-input output symmetric memoryless channels
Decoding
Metrics
pubcrawl
Human behavior
Resiliency

biblio

Graph Sketching against Adaptive Adversaries Applied to the Minimum Degree Algorithm

Submitted by grigby1 on Mon, 01/21/2019 - 11:38am

pubcrawl
matrix elimination orderings
Metrics
minimum degree algorithm
minimum fill degree
nearly-linear time algorithm
oblivious adversary model
polylogarithmic time
provable approximation
Human behavior
query processing
randomised algorithms
randomized data structure
Resiliency
Scalability
sketching data structure
Sparse matrices
combinatorial scientific computing
adaptive adversarial model
adaptive adversaries applied
Adversary Models
approximate fill degrees
approximate greedy minimum degree orderings
Approximation algorithms
approximation theory
combinatorial mathematics
Adaptation models
computational complexity
computer science
Data models
data structures
graph sketching
graph theory
Heuristic algorithms

biblio

Detection with compressive measurements corrupted by sparse errors

Submitted by grigby1 on Thu, 08/23/2018 - 10:41am

Nyquist-rate samples
sparse signal representation
Sparse matrices
sparse error corruption
signal sampling
signal reconstruction algorithms
signal reconstruction
signal processing
signal detection
Resiliency
resilience
pubcrawl
privacy
composability
Noise measurement
narrowband interference
measurement uncertainty
interference (signal)
impulse noise
Image reconstruction
Distortion measurement
Detectors
cyber-physical systems
compressive sampling
compressive measurement detection problem
compressed sensing

biblio

Robust Matrix Factorization for Collaborative Filtering in Recommender Systems

Submitted by grigby1 on Thu, 05/24/2018 - 11:10am

problem scale
Sparse matrices
sparse factor matrices
Scalability
Robustness
robust models
robust matrix factorization
Resiliency
resilience
recommender systems
pubcrawl
projective nonnegative matrix factorization
collaboration
nonnegativity constraint
Motion pictures
Minimization
minimal number
matrix factorization
Matrix decomposition
Human Factors
Human behavior
dense factor matrices
collaborative filtering

biblio

An adaptive sparse representation model by block dictionary and swarm intelligence

Submitted by K_Hooper on Wed, 05/02/2018 - 9:38am

sparse coefficient
Least squares approximations
Linear programming
norm-regularized least squares problem
optimisation
Pattern recognition
pubcrawl
regularization parameter
scale dictionary
learning (artificial intelligence)
sparse linear combination
Sparse matrices
Sparse Representation
sparse representation framework
SR framework
SR model
Swarm Intelligence
Training
composability
Adaptation models
adaptive
adaptive sparse representation classifier
adaptive sparse representation model
artificial bee colony algorithm
ASRC
block dictionary
Classification algorithms
ABC algorithm
convergence
Dictionaries
Face
face recognition
group concentration
image classification
image representation

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

Sparse matrices

Decision Fusion Based on Joint Low Rank and Sparse Component for Hyperspectral Image Classification

Anomaly Detection in Network Traffic Using Dynamic Graph Mining with a Sparse Autoencoder

Targeted Poisoning Attacks on Social Recommender Systems

Compressive Sensing and Hyper-Chaos Based Image Compression-Encryption

Compressive Detection of Random Signals from Sparsely Corrupted Measurements

Coding Theorem for Systematic LDGM Codes Under List Decoding

Graph Sketching against Adaptive Adversaries Applied to the Minimum Degree Algorithm

Detection with compressive measurements corrupted by sparse errors

Robust Matrix Factorization for Collaborative Filtering in Recommender Systems

An adaptive sparse representation model by block dictionary and swarm intelligence