This project implements an image classification model to distinguish between cats and dogs using Support Vector Machines (SVM) and Histogram of Oriented Gradients (HOG) features. The model processes ...

In the application section, where it proves that the support vector machine can solve the problem of classification perfectly, with regard to the input data, the eigenvalues of the images' gray ...

This work presents a novel picture classification strategy that combines the Bag of Features (BoF) model with Support Vector Machines (SVM ... Experiments using common image classification datasets ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Anaconda Distribution can also support up ... Install Anaconda Using the bash anaconda.sh Step 5: Activate the Environment settings Using the “source ~/.bashrc” The executions were done on spyder from ...