Pinned Repositories
Adversarial-Examples
Based on Adversarial Robustness - Theory and Practice: https://adversarial-ml-tutorial.org/
Feature-Discretization
Multi-interval discretization of continuous-valued attributes for classification learning
Feature-Extraction
Wavelet-based Centre Symmetric Local Binary Patterns
HNB
Hidden Naive Bayes Model
LDMLCS-algorithm
LDMLCS can generate numerous decomposable models, including simple models such as TAN and complex models with large joint marginal distribution, and some models that could be used for classification on a given dataset.
Observable-Markov-Models
TCP Traffic Classification Using Markov Models
Reversible-Data-Hiding
Reversible data hiding by histogram shifting
Spatial-Domain-Img-Wm
A digital image watermarking technique in spatial domain
Tiny-ML
Here is a summary of the first four chapters of the TinyML book
Fati-Ghof's Repositories
Fati-Ghof/Adversarial-Examples
Based on Adversarial Robustness - Theory and Practice: https://adversarial-ml-tutorial.org/
Fati-Ghof/Tiny-ML
Here is a summary of the first four chapters of the TinyML book
Fati-Ghof/LDMLCS-algorithm
LDMLCS can generate numerous decomposable models, including simple models such as TAN and complex models with large joint marginal distribution, and some models that could be used for classification on a given dataset.
Fati-Ghof/HNB
Hidden Naive Bayes Model
Fati-Ghof/Feature-Discretization
Multi-interval discretization of continuous-valued attributes for classification learning
Fati-Ghof/Observable-Markov-Models
TCP Traffic Classification Using Markov Models
Fati-Ghof/Feature-Extraction
Wavelet-based Centre Symmetric Local Binary Patterns
Fati-Ghof/Reversible-Data-Hiding
Reversible data hiding by histogram shifting
Fati-Ghof/Spatial-Domain-Img-Wm
A digital image watermarking technique in spatial domain