Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
Abstract. Existing tools for supporting parallel work feature some disadvantages that prevent them to be widely used. Very often they require a complex installation and creation of...
The US Military’s ability to meet its mission critical requirements calls for increased agility in its information technology development process. The purpose of this case study...
Ann L. Fruhling, Patrick McDonald, Christopher Dun...
In the traditional software engineering courses, the students develop small programs from scratch. This does not correspond to industry practice where programmers spend most of th...
Joseph Buchta, Maksym Petrenko, Denys Poshyvanyk, ...