Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Algorithms for the sparse matrix-vector multiplication (shortly SpM×V ) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the...
A wireless sensor network is a new kind of wireless Ad-Hoc network consisting of a large number of small low cost, power constrained sensors deployed in a large area for gathering...
During a program’s runtime, the stack and data segments of the main memory often contain much redundancy, which makes them good candidates for compression. Compression and decomp...
Abstract. Simple linear readouts from generic neural microcircuit models can be trained to generate and control basic movements, e.g., reaching with an arm to various target points...