Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...
Markup languages, representations, schemas, and tools have significantly increased the ability for organizations to share their information. Languages such as the Extensible Marku...
We introduce some new models of infinite-state transition systems. The basic model, called a (reversal-bounded) counter machine (CM), is a nondeterministic finite automaton augment...
The Multimedia Internet Terminal (MINT)1 is a flexible multimedia tool set that allows the establishment and control of multimedia sessions across the Internet. The system archit...
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...