Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
We present an automatic and efficient method to extract spatio-temporal human volumes from video, which combines top-down model-based and bottom-up appearancebased approaches. Fr...
In the context of nanoscale networks-on-chip (NoCs), each link implementation solution is not just a specific synthesis optimization technique with local performance and power im...
Daniele Ludovici, Georgi Nedeltchev Gaydadjiev, Da...
Abstract—This paper studies probabilistic information dissemination in random networks. Consider the following scenario: A node intends to deliver a message to all other nodes in...
Enterprise modeling is a daunting task to be carried out from a single perspective. A challenge to this whole complexity is conflicting descriptions given by different actors when ...