The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
In this paper we investigate feedback-directed dynamic selection between different implementations of atomic blocks. We initially execute atomic blocks using STM with optimistic c...
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
— In this paper, we evaluate a drama management approach deployed in an implementation of a graphical interactive fiction game. Our approach uses players’ feedback as a basis f...