Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....
This paper describes an approach to support practitioners in the analysis of computer-supported learning processes by utilizing logfiles of learners’ actions captured by the sys...
An important element of understanding a software code base is to identify the repetitive patterns of code it contains and how these evolve over time. Some patterns are useful to t...
The goal of the visual correspondence problem is to establish a connectivity pattern (a mapping) between two images such that features projected from the same scene point are conn...
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...