Adoption of an information system could be reflected in two ways: through the adoption intentions of the non-adopters and the extent of adoption for the adopters. This study seeks...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
This paper investigates how to parse (segment) facial components from face images which may be partially occluded. We propose a novel face parser, which recasts segmentation of fa...
9, IO]. However, unlike the case with static timing, it is not so easy We show how recent advances in the handling of correlated interval representations of range uncertainty can b...
Statistical debugging is a powerful technique for identifying bugs that do not violate programming rules or program invariants. Previously known statistical debugging techniques ar...