In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
The Speech Distortion Weighted Multichannel Wiener Filter (SDWMWF) is a promising multi-microphone noise reduction technique, in particular for hearing aid applications. Its beneï...
— This paper focuses on the design process of web prefetching algorithms. The main goal of prefetching techniques in web is to reduce user perceived latency. Since these techniqu...
Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective optimization by using a novel nondominated neighbor-based selection technique, an immune inspired oper...