Given a set of query points, a dynamic skyline query reports all data points that are not dominated by other data points according to the distances between data points and query po...
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
In retargeting loop-based code for multimedia instruction set extensions, a critical issue is that vector data types of mixed precision within a loop body complicate the paralleli...
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...