We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
Creating and editing source code are tedious and error-prone processes. One important source of errors in editing programs is the failure to correctly adapt a block of copied code...
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
The signed distance field for a polygonal model is a useful representation that facilitates efficient computation in many visualization and geometric processing tasks. Often it is...
Transactional requirements, from new application domains and execution environments, are varying and may exceed traditional ACID properties. We believe that transactional middlewa...
Anna-Brith Arntsen, Marts Mortensen, Randi Karlsen...