Wireless sensor networks typically consist of a large number of sensor nodes embedded in a physical space. Such sensors are low-power devices that are primarily used for monitoring...
Most object detection techniques discussed in the literature are based solely on texture-based features that capture the global or local appearance of an object. While results indi...
We present design and implementation details as well as performance results for two new parallel checkpointing libraries developed by us for parallel MPI applications. The first o...
With the proliferation of multimedia data sources on the Internet, we envision an increasing demand for value-added and functionrich multimedia services that transport, process, a...
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...