This paper proposes a method that speeds up a classifier trained with many conjunctive features: combinations of (primitive) features. The key idea is to precompute as partial res...
This paper presents a novel algorithm for generating a watertight level-set from an octree. We show that the levelset can be efficiently extracted regardless of the topology of th...
Michael M. Kazhdan, Allison Klein, Ketan Dalal, Hu...
In this paper, we present a novel approach to Pseudo-Relevance Feedback (PRF) called Multilingual PRF (MultiPRF). The key idea is to harness multilinguality. Given a query in a la...
We propose a general, powerful framework of type systems for the -calculus, and show that we can obtain as its instances a variety of type systems guaranteeing non-trivial propert...