Network measurement is essential for assessing performance issues, identifying and locating problems. Two common strategies are the passive approach that attaches specific device...
We analyze the problem of reconstructing a 2D function that approximates a set of desired gradients and a data term. The combined data and gradient terms enable operations like mod...
Pravin Bhat, Brian Curless, Michael F. Cohen, C. L...
Chip multiprocessors designed for streaming applications such as Cell BE offer impressive peak performance but suffer from limited bandwidth to offchip main memory. As the number o...
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...