Despite extensive study over the last four decades and numerous applications, no I/O-efficient algorithm is known for the union-find problem. In this paper we present an I/O-effic...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Background: For the past few years, scientific controversy has surrounded the large number of errors in forensic and literature mitochondrial DNA (mtDNA) data. However, recent res...
Hwan Young Lee, Injee Song, Eunho Ha, Sung-Bae Cho...
The distinguishing feature of a metasystem is middleware that facilitates viewing a collection of large, distributed, heterogeneous resources as a single virtual machine, where ea...
Marty Humphrey, Frederick Knabe, Adam Ferrari, And...
The collection and transcription of speech data is typically an expensive and time-consuming task. Voice over IP and cloud computing are poised to greatly reduce this impediment t...
Ian McGraw, Chia-ying Lee, I. Lee Hetherington, St...