We address recognition and localization of human actions in realistic scenarios. In contrast to the previous work studying human actions in controlled settings, here we train and ...
In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...
Bart Baesens, Michael Egmont-Petersen, Robert Cast...
The inherent instruction-level parallelism (ILP) of current applications (specially those based on floating point computations) has driven hardware designers and compilers writers...
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
The use of asymmetric multi-core processors with onchip computational accelerators is becoming common in a variety of environments ranging from scientific computing to enterprise...
M. Mustafa Rafique, Benjamin Rose, Ali Raza Butt, ...