It is shown how software metrics and architectural patterns can be used for the management of software evolution. In the presented architecture-centric software evolutionmethod th...
Juha Gustafsson, Jukka Paakki, Lilli Nenonen, A. I...
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
The emergence of social media brings chances, but also challenges, to linguistic analysis. In this paper we investigate a novel problem of discovering patterns based on emotion an...
Software architecture evaluation has a crucial role in the life cycle of software intensive systems. In this paper we propose an approach to empower a software architecture evalua...
We present a finite element modeling based approach to compute strain patterns caused by facial deformation during expressions in videos. A sparse motion field computed through ...
Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof,...