Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
ÐThe detection of smooth curves in images and their completion over gaps are two important problems in perceptual grouping. In this study, we examine the notion of completion ener...
Analysis of materials obtained from physical simulations is important in the physical sciences. Our research was motivated by the need to investigate the properties of a simulated...
Attila G. Gyulassy, Mark A. Duchaineau, Vijay Na...
We outline a possible logic that will allow us to give a unified approach to reasoning about computational effects. The logic is given by extending Moggi’s computational λ-cal...