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 ...

In order to improve the application efficiency of face recognition technology, this paper proposes a face recognition model based on PCA-SVM. Firstly, the basic ORL face database is updated to build a ...

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.

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 ...

Learn about the key concepts and methods behind face recognition, and compare some of the most common and effective algorithms and models for each step.

Researchers developed an algorithm that scans for faces, but also biases. After testing, it was able to reduce 'categorical bias' by over 60 percent, while performance remained consistent.

Facebook's algorithm is pretty good too, identifying people with an 83 percent success rate in tests, so we'll be curious to see if it makes its way into the social network's photo galleries in ...