We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
The polyhedral model is extensively used for analyses and transformations of regular loop programs, one of the most important being automatic parallelization. The model, however, ...
When considering sampling models described by a distribution from an exponential family, it is possible to create two types of imprecise probability models. One is based on the co...
In this work we study some probabilistic models for the random generation of words over a given alphabet used in the literature in connection with pattern statistics. Our goal is t...
This paper studies realization and performance comparison of the sequential and weak consistency models in the network-on-chip (NoC) based distributed shared memory (DSM) multi-cor...
Abdul Naeem, Xiaowen Chen, Zhonghai Lu, Axel Jants...