Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Background: Biological sequence repeats arranged in tandem patterns are widespread in DNA and proteins. While many software tools have been designed to detect DNA tandem repeats (...
The MOF Query, View and Transformation RFP, issued by OMG will result in a key enabling technology for modeldriven development of large distributed systems. We have designed a tra...
Keith Duddy, Anna Gerber, Michael Lawley, Kerry Ra...
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
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...