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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
gradient descent methods
biblio
Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques
Submitted by grigby1 on Mon, 10/05/2020 - 1:11pm
Scalability
Neural networks
Newton method
nonconvex functions
optimisation
optimization
pubcrawl
Quasi-Newton methods
resilience
Resiliency
memory storage
security
Signal processing algorithms
storage management
Training
training responses
TRMinATR
Trust-region methods
trust-region minimization algorithm
Hessian matrices
computational complexity
computer architecture
computer theory
deep learning
Europe
gradient descent methods
gradient methods
Hessian approximations
approximation theory
Hessian matrix inversion
Human Factors
learning (artificial intelligence)
limited memory BFGS quasiNewton method
Limited-memory BFGS
Line-search methods
machine learning
matrix inversion
biblio
Supervised Max Hashing for Similarity Image Retrieval
Submitted by grigby1 on Fri, 06/12/2020 - 11:08am
resilience
hashing
image retrieval
k-ary base
labeled image datasets
learning (artificial intelligence)
mathematically differentiable approximation
nearest neighbor search
pubcrawl
Quantization (signal)
Hash functions
Resiliency
rich feature vectors
Semantics
similarity image retrieval
storage efficiency
supervised hashing methods
supervised max hashing
Training
feature vector generation
-Learning-to-Hash
-Winner-Take-All-Hash-Family
Approximation algorithms
argmax function
Compositionality
convolutional neural nets
convolutional neural networks
deep neural network architecture
feature extraction
-Convolutional-Neural-Networks
file organisation
gradient descent methods
gradient methods
hand-crafted feature vectors
hash algorithm
hash algorithms
hash code
Hash Function
