We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
The support vector machine (SVM) is a widely used tool for classification. Many efficient implementations exist for fitting a two-class SVM model. The user has to supply values fo...
Trevor Hastie, Saharon Rosset, Robert Tibshirani, ...
In this paper we reconsider pairwise collision detection for rigid motions using a k-DOP bounding volume hierarchy. This data structure is particularly attractive because it is eq...
With large volume data sets, it can be difficult to visualize the data all at once. Multiple views can address this problem by displaying details in areas of interest while still ...
We propose a new strategy for raytracing complex scenes without aliasing artifacts. The algorithm intersects anisotropic ray cones with prefiltered surface sample points from a mu...