Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
We present a hybrid BIST approach that extracts the most frequently occurring sequences from deterministic test patterns; these extracted sequences are stored on-chip. We use clus...
In this paper, we propose a statistical approach for clustering of artMes using on-line dictionary definitions. One of the characteristics of our approach is that every sense of w...
Software module clustering is the problem of automatically organising software units into modules to improve program structure. There has been a great deal of recent interest in s...