We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel function...
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
—Error concealment restores the visual integrity of image content that has been damaged due to a bad network transmission. Best neighborhood matching (BNM) is an effective image ...
In this paper, we propose a new 3D framework to identify and segment VBs and TBs in clinical computed tomography (CT) images without any user intervention. The Matched filter is e...
Melih S. Aslan, Asem M. Ali, Ham Rara, Aly A. Fara...
Abstract. There is a significant commercial and research interest in locationbased web search engines. Given a number of search keywords and one or more locations that a user is in...