Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
: We study the scalability of 2-D discrete wavelet transform algorithms on fine-grained parallel architectures. The principal operation in the 2-D DWT is the filtering operation us...
Jamshed N. Patel, Ashfaq A. Khokhar, Leah H. Jamie...
Abstract— Recent results establish the optimality of interference alignment to approach the Shannon capacity of interference networks at high SNR. However, the extent to which in...
Krishna Srikanth Gomadam, Viveck R. Cadambe, Syed ...
This paper investigates the performance of a content distribution network designed to provide bounded content access latency. Content can be divided into multiple classes with dif...