Corpus-based stochastic language models have achieved significant success in speech recognition, but construction of a corpus pertaining to a specific application is a difficult ta...
The wide practice of objected oriented programming (OOP) in current software practice is evident. Despite extensive studies on typing programming objects, it is still undeniably a ...
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
The nearest-neighbor based document skew detection methods do not require the presence of a predominant text area, and are not subject to skew angle limitation. However, the accur...
This paper proposes a simulation-based methodology for validation of a system under design in an early phase of development. The key element of this approach is the visual speciï¬...