This study concerns a threshold-based matching algorithm for Clos (t-MAC) network switches. The studied Clos network uses a central photonic switch fabric for transporting high-spe...
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this...
The k-merge problem, given a collection of k, (2 k n), sorted sequences of total length n, asks to merge them into a new sorted sequence. The main contribution of this work is...
For vehicles navigating initially unknown cluttered environments, current state-of-the-art planning algorithms are able to plan and re-plan dynamically-feasible paths efficiently a...