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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
representation learning
biblio
HIGhER: Improving instruction following with Hindsight Generation for Experience Replay
Submitted by aekwall on Tue, 06/01/2021 - 1:20pm
Task Analysis
pubcrawl
composability
Training
Generators
Linguistics
visualization
Compositionality
Trajectory
natural language processing
navigation
Reinforcement learning
representation learning
biblio
Network Anomaly Detection Based on Deep Support Vector Data Description
Submitted by aekwall on Mon, 12/14/2020 - 12:30pm
False Data Detection
Anomaly Detection
Big Data
composability
convolutional neural nets
convolutional neural network
Data models
Deep Neural Network
deep support vector data description
Deep-SVDD
feature extraction
intrusion detection system
KDD CUP99 dataset
malicious traffic detection system
network anomaly detection
network traffic anomaly detection
Neural networks
normal traffic features
Predictive Metrics
pubcrawl
representation learning
Resiliency
security of data
support data vector description
Support vector machines
telecommunication traffic
Training
Unsupervised Learning
biblio
AOGNets: Compositional Grammatical Architectures for Deep Learning
Submitted by grigby1 on Mon, 10/05/2020 - 1:49pm
Compositionality
Human behavior
Human Factors
Computing Theory and Compositionality
AND-OR Grammar
AOG building block
AOGNet
AOGNets
attention based variants
categorization
deep compositional grammatical architectures
deep learning
deep neural networks
DenseNet
dependency grammar
DNNs
DualPathNet
feature channels
feature exploration
grammar models
grammars
image classification
image segmentation
ImageNet-1K classification benchmark
input feature map
learning (artificial intelligence)
model interpretability score
MS-COCO object detection
network dissection
network generator
neural architectures
neural nets
object detection
phrase structure grammar
pubcrawl
Recognition: Detection
Reconfigurability
representation learning
ResNeXt
retrieval
segmentation benchmark
SENet
biblio
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
Submitted by grigby1 on Fri, 05/22/2020 - 2:34pm
security of data
convolutional neural nets
pubcrawl
internet
Big Data
deep learning
Metrics
Measurement
nearest neighbour methods
adversarial perturbations
convolutional networks
nearest neighbor search
adversarial image
data distribution
Datasets and Evaluation
image manifold
image representation
ImageNet
Large Scale Methods
nearest-neighbor defense settings
representation learning
visual databases
Visual Reasoning
Web-scale image database
Web-scale nearest-neighbor search
biblio
A novel network intrusion detection algorithm based on Fast Fourier Transformation
Submitted by aekwall on Mon, 05/11/2020 - 11:19am
computer network security
machine learning algorithms
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Metrics
network intrusion detection
CNN
convolutional neural nets
convolutional neural networks
network traffic
Intrusion Detection
Image coding
image classification
deep learning
CNN model
NSL-KDD
NSL-KDD dataset
deep learning techniques
FFT
Discrete Fourier transforms
fast Fourier transformation
fast Fourier transforms
intrusion detection problem
Matrix converters
network intrusion detection algorithm
representation learning
biblio
DLGraph: Malware Detection Using Deep Learning and Graph Embedding
Submitted by grigby1 on Mon, 06/10/2019 - 1:59pm
application program interfaces
combined feature vector classification
deep learning
DLGraph
embedded systems
embedded vector
feature extraction
function-call graph
function-call graphs
graph embedding
graph theory
Human behavior
invasive software
learning (artificial intelligence)
Malware Analysis
malware detection
Metrics
microsoft windows
neural nets
noise reduction
pattern classification
privacy
pubcrawl
representation learning
Resiliency
SDA
softmax regression
stacked denoising autoencoders
static analysis
Trojan horses
Windows API calls
Windows application programming interface calls
biblio
Optimality of inference in hierarchical coding for distributed object-based representations
Submitted by K_Hooper on Wed, 02/28/2018 - 11:31am
complex synthetic datasets
Compositionality
convolution
Convolutional codes
convolutional matching pursuit
data compression
Dictionaries
distributed object-based representations
distributed processing
encoding
greedy algorithms
greedy inference algorithm
hierarchical sparse coding
hierarchical systems
inference mechanisms
L0-norm constraint
learning (artificial intelligence)
Matching pursuit algorithms
multiscale representation
near-optimal codes
NP-hard optimization
optimisation
pubcrawl
representation learning
standards
biblio
KATE: K-Competitive Autoencoder for Text
Submitted by grigby1 on Tue, 02/06/2018 - 1:34pm
autoencoders
competitive learning
composability
Human behavior
Human Factors
Metrics
pubcrawl
representation learning
Scalability
text analytics
