We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
We studied the dynamic instruction count reduction for a single-thread, vectorized and a multi-threaded, non-vectorized, MPEG-4 video encoder. Results indicate a maximum improveme...
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
The JavaPorts system is an environment that facilitates the rapid development of modular, reusable, Java-based parallel and distributed applications for networked machines with het...