Search Results for "support vector machine classifier"

The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides...

The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.

The Microsoft Kinect is known to be an affordable commercial sensor. As an introduction to computer vision, we developed a small program to show how it can be used in machine learning, more specifically in the field of object recognition using support vector machines (SVM). Demo: http://www.youtube.com/watch?v=DDdShv1pQTg