Content-based Image Retrieval (CBIR) is a flexible approach to access modern image database with large data size, whereby the actual images are described by multi-dimensional feature vectors. These are then indexed in the database to provide low retrieval latency. Currently, many different structures have been proposed, among them, the structures of the R-tree family, especially the R-tree, R*-...

In content-based image retrieval systems, the content of an image such as color, shapes and textures are used to retrieve images that are similar to a query image. Most of the existing work focus on the retrieval e€ectiveness of using content for retrieval, i.e., study the accuracy (in terms of recall and precision) of using di€erent representations of content. In this paper, we address the iss...

R-tree based spatial join is useful because of both its superior performance and the wide spread implementation of R-trees. We present a new R-tree join method called BFRJ (Breadth-First R-tree Join). BFRJ synchronously traverses both R-trees in breadthfirst order while processing join computation one level at a time. At each level, BFRJ creates an intermediate join index and deploys global opt...

background and aims: bilirubin has been considered an antioxidant that protects against atherosclerosis. the aim of this study was to evaluate the relationship of serum bilirubin level with the severity and complexity of coronary artery disease (cad) and long-term outcome in the patients undergoing primary percutaneous coronary intervention (pci). materials and methods: this prospective cohort ...