Categorization dynamics as the clustering of words in word relation is studied by a constructive approach which is suited to inquire evolutionary linguistics with dynamical view on...
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
This paper presents a technique for determining an object's shape based on the similarity of radiance changes observed at points on its surface under varying illumination. To...
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
—Most research into high-performance software transactional memory (STM) assumes that transactions will run on a processor with a relatively strict memory model, such as Total St...
Michael F. Spear, Maged M. Michael, Michael L. Sco...