Abstract. Recent findings in the domain of combining classifiers provide a surprising revision of the usefulness of diversity for modelling combined performance. Although there is ...
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
This paper considers the problem of partitioning a circuit into a collection of subcircuits, such that each subcircuit is feasible for some device from an FPGA library, and the to...
In this work the performance of a combined equalization for multi-carrier code division multiple access (MC-CDMA) systems is analytically evaluated. Combined equalization consists ...