We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
The growth of the Internet has made it possible to query data in all corners of the globe. This trend is being abetted by the emergence of standards for data representation, such ...
Jayavel Shanmugasundaram, Kristin Tufte, David J. ...
Many real-world applications of multiagent systems require independently designed (heterogeneous) and operated (autonomous) agents to interoperate. We consider agents who offer bu...
Matteo Baldoni, Cristina Baroglio, Amit K. Chopra,...
Nowadays it is widely accepted to formulate the security of a protocol carrying out a given task via the "trusted-party paradigm," where the protocol execution is compar...
We describe a method to improve detection of disease outbreaks in pre-diagnostic time series data. The method uses multiple forecasters and learns the linear combination to minimi...