The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Growing sequencing and assembly efforts have been met by the advances in high throughput machines. However, the presence of massive amounts of repeats and transposons complicates ...
Nirmalya Bandyopadhyay, A. Mark Settles, Tamer Kah...
In this paper, we present a new solution to the problem of matching groups of people across multiple nonoverlapping cameras. Similar to the problem of matching individuals across ...
Background: Mosaicism for copy number and copy neutral chromosomal rearrangements has been recently identified as a relatively common source of genetic variation in the normal pop...
Malware clustering and classification are important tools that enable analysts to prioritize their malware analysis efforts. The recent emergence of fully automated methods for ma...