Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
We present a method to automatically extract spatio-temporal descriptions of moving objects from synchronized and calibrated multi-view sequences. The object is modeled by a time-...
How humans infer probable information from the limited observed data? How they are able to build on little knowledge about the context in hand? Is the human memory repeatedly const...
We present AutoWitness, a system to deter, detect, and track personal property theft, improve historically dismal stolen property recovery rates, and disrupt stolen property distr...
Santanu Guha, Kurt Plarre, Daniel Lissner, Somnath...
There are two popular parallel I/O programming styles used by modern scientific computational applications: unique-file and shared-file. Unique-file I/O usually gives satisfactory ...
Kui Gao, Wei-keng Liao, Arifa Nisar, Alok N. Choud...