Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
Existing techniques extract term candidates by looking for internal and contextual information associated with domain specific terms. The algorithms always face the dilemma that f...
Abstract— This paper investigates the reliability of applicationlevel multicast based on a distributed hash table (DHT) in a highly dynamic network. Using a node residual lifetim...
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
We examine frequency-domain issues in the design and selection of on-chip test generators for built-in self-test (BIST) of highperformance digital filters. Test-generator/circuit...