He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes. They can come in handy for analyzing text ...

While there are plenty of current applications for turning 3D objects ... map or vector that is used to predict specific information. Such as shape, color, texture and lighting of an image.

Support vector machines (SVMs) are becoming popular in ... In essence, an SVM is a mathematical entity, an algorithm (or recipe) for maximizing a particular mathematical function with respect ...

Automatic classification of pathology and radiology images ... most common algorithms are Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, and Support Vector Machine (SVM).