— We consider the problem of broadcasting a live stream of data in an unstructured network. Broadcasting has been studied extensively for networks with capacity constraints at th...
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
The emergence of large-scale distributed applications based on many-to-many communication models, e.g., broadcast and decentralized group communication, has an important impact on ...
Many types of transformations are used to model deformations in medical image registration. While some focus on modeling local changes, some on continuity and invertibility, there ...
Ramkrishnan Narayanan, Jeffrey A. Fessler, Hyunjin...