We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Many of today’s military services and applications run on geographically distributed sites and need to be tested and evaluated under realistic scenarios with many unpredictable ...
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...
Transactional memory is an attractive design concept for scalable multiprocessors because it offers efficient lock-free synchronization and greatly simplifies parallel software....