Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
We consider the execution of a complex application on a heterogeneous "grid" computing platform. The complex application consists of a suite of identical, independent pr...
Reseeding is used to improve fault coverage of pseudorandom testing. The seed corresponds to the initial state of the LFSR before filling the scan chain. The number of determinist...
Ahmad A. Al-Yamani, Subhasish Mitra, Edward J. McC...
Abstract. In this paper we investigate automated methods for externalizing internal memory data structures. We consider a class of balanced trees that we call weight-balanced parti...
Pankaj K. Agarwal, Lars Arge, Octavian Procopiuc, ...