The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
One of the most critical issues in large-scale software development and maintenance is the rapidly growing size and complexity of software systems. As a result of this rapid growt...
Embedded systems require control of many concurrent real-time activities, leading to system designs which feature multiple hardware peripherals with each providing a specific, ded...
An increasingly large portion of scheduler latency is derived from the monolithic content addressable memory (CAM) arrays accessed during instruction wakeup. The performance of th...
The sizes of datasets available as RDF (e.g., as part of the Linked Data cloud) are increasing continuously. For instance, the recent DBpedia version consists of nearly 500 million...