Search Results for "support vector machine classifier"

Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is...

The Wheefun Graphics Library (WFGFX) library implements basic graphics primitives that are designed to be used portably between different backends. The basic implementation includes support for the C and C++ programming languages. WFGFX at its core provides interfaces for manipulating both raster and vector images through an abstract graphics context; in many cases, several low-level primitives exist for more direct manipulation. It is designed to be easily ported to other programming environments like .NET and the Java Virtual Machine, making the codebase reusable as a result.

We present BudgetedSVM, a C++ toolbox containing highly optimized implementations of three recently proposed algorithms for scalable training of Support Vector Machine (SVM) approximators: Adaptive Multi-hyperplane Machines (AMM), Budgeted Stochastic Gradient Descent (BSGD), and Low-rank Linearization SVM (LLSVM). BudgetedSVM trains models with accuracy comparable to LibSVM in time comparable to LibLinear, as it allows solving highly non-linear classification problems with millions of high-dimensional examples within minutes on a regular personal computer. ...

A standalone, STL interface to the Torch library's Support Vector Machine (SVM). It supports single or multiclass (one vs. all) classification using dot product, polynomial, Gaussian and sigmoid kernels.