Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
Most existing dynamic voltage scaling (DVS) schemes for multiple tasks assume an energy cost function (energy consumption versus execution time) that is independent of the task ch...
In this paper, we study the complexity and approximability of the orthogonal frequency-division multiple access (OFDMA) scheduling problem with uniformly related communication chan...
In networked control systems the controller of a physicallydistributed plant is implemented as a collection of tightlyinteracting, concurrent processes running on a distributed ex...
Alessandro Pinto, Luca P. Carloni, Alberto L. Sang...
Memory management is a fundamental problem in computer architecture and operating systems. We consider a two-level memory system with fast, but small cache and slow, but large mai...