In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
Modern integrated circuits (ICs) are becoming increasingly complex. The complexity makes it difficult to design, manufacture and integrate these high-performance ICs. The advent o...
Abstract. We present a system that allows for changing the major camera parameters after the acquisition of an image. Using the high dynamic range composition technique and additio...
Benjamin Huhle, Timo Schairer, Philipp Jenke, Wolf...