This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
The spatial auto-regression (SAR) model is a popular spatial data analysis technique, which has been used in many applications with geo-spatial datasets. However, exact solutions f...
Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ra...
This paper considers recovery of jointly sparse multichannel signals from incomplete measurements. Several approaches have been developed to recover the unknown sparse vectors from...
With the growing number of programmable processing elements in today's MultiProcessor System-on-Chip (MPSoC) designs, the synergy required for the development of the hardware...
Lei Gao, Kingshuk Karuri, Stefan Kraemer, Rainer L...
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...