In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Engineering systems are becoming increasingly complex as state of the art technologies are incorporated into designs. Surety modeling and analysis is an emerging science which per...
James Davis, Jason Scott, Janos Sztipanovits, Marc...
Model-based testing relies on the use of behavior models to automatically generate sequences of inputs and expected outputs. These sequences can be used as test cases to the end o...
Gabor Hahn, Jan Philipps, Alexander Pretschner, Th...
The lack of a precise semantics for UML activity diagrams makes the reasoning on models constructed using such diagrams infeasible. However, such diagrams are widely used in domai...
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...