In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...
—In this paper, we propose an efficient selective receiver for space-time block coding (STBC) scheme. In this proposed scheme, we divide the received signals into two groups. By ...
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...