Previous work demonstrated that web counts can be used to approximate bigram frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two generation ta...
In this paper we describe our experiences in building tools for accelerating maintenance of existing large telecommunications software. We discuss how various maintenance activitie...
We present a study on various statistics relevant to research on color constancy. Many of these analyses could not have been done before simply because a large database for color ...
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...