Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Design for change is one of the important themes of design patterns. Each design pattern normally embeds some specific ways for future changes. Currently, such evolution informati...
: Detection of instances of design patterns is useful for the software maintenance. This paper proposes a new framework for the automated detection of instances of design patterns....
A new technique for fast pattern recognition using normalized grey-scale correlation (NGC) is described. While NGC has traditionally been slow due to computational intensity is
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...