We propose a new method to select relevant images to the given keywords from images gathered from the Web based on the Probabilistic Latent Semantic Analysis (PLSA) model which is...
We give an elementary semantics to an effect system, tracking read and write effects by using relations over a standard extensional semantics for the original language. The seman...
Nick Benton, Andrew Kennedy, Martin Hofmann, Lenna...
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Abstract. In this paper we show how to compress efficiently the statespace of a concurrent system (here applied to a simple shared memory model, but this is no way limited to that ...