Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
In multiple-instance learning (MIL), an individual example is called an instance and a bag contains a single or multiple instances. The class labels available in the training set ...
Partitioning a memory into multiple blocks that can be independently accessed is a widely used technique to reduce its dynamic power. For embedded systems, its benefits can be ev...
Olga Golubeva, Mirko Loghi, Massimo Poncino, Enric...
An important problem in mobile ad-hoc wireless sensor networks is the localization of individual nodes, i.e., each node’s awareness of its position relative to the network. In t...
Mobile phones, with their increasing processing power and memory, are enabling a diversity of tasks. The traditional text entry method using keypad is falling short in numerous way...
Santosh Basapur, Shuang Xu, Mark Ahlenius, Young S...