In this short project, we will be using the Support Vector Machines (SVM) algorithm to predict faces. We will be using the Labeled Faces in the Wild dataset from Scikit-Learn, which consists of ...

Develop an SVM-based facial recognition model. Introduction to SVM's SVM's are a powerful class of supervised learning algorithms for classification and regression problems.

KPCA algorithm can solve the problem of nonlinear characteristic that the PCA algorithm can't handle with and the traditional curvelet decomposition algorithm cannot take full advantage of the fine ...

In recent years, facial recognition technology has seen rapid advancements and is now extensively utilized in security surveillance and financial transactions. The face recognition process usually ...

Face recognition overview. is one of the most sought-after technologies in the field of machine learning. In recent times, the use cases for this technology have broadened from specific surveillance ...