Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi...
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a Reprod...
Arthur Gretton, Karsten M. Borgwardt, Malte J. Ras...
Enabling the Semantic Web requires solving the semantic heterogeneity problem, for which ontology matching methods have been proposed. These methods rely on similarity measures tha...
We present a term recognition approach to extract acronyms and their definitions from a large text collection. Parenthetical expressions appearing in a text collection are identif...
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...