With the growing popularity of streaming data model, processing queries over streaming data has become an important topic. Streaming data has received attention in a number of comm...
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
The standard language for describing the asymptotic behavior of algorithms is theoretical computational complexity. We propose a method for describing the asymptotic behavior of p...
Simon Goldsmith, Alex Aiken, Daniel Shawcross Wilk...
Surface matching is fundamental to shape computing and various downstream applications. This paper develops a powerful pants decomposition framework for computing maps between sur...
In computer science curricula the two areas programming and software engineering are usually separated. In programming students learn an object oriented language and then deepen t...