Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
In order to realize their full potential, multimodal interfaces need to support not just input from multiple modes, but single commands optimally distributed across the available ...
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
Dynamic geographic phenomena, such as forest fires and oil spills, can have dire environmental, sociopolitical, and economic consequences. Mitigating, if not preventing such events...
Christopher Farah, Cheng Zhong, Michael F. Worboys...
The paper has two objectives. The first is to study rigorously the transient behavior of some P2P networks where information is replicated and disseminated according to an epidemic...
Eitan Altman, Philippe Nain, Adam Shwartz, Yuedong...