3 papers
cs.LG2017
Simple Classification using Binary Data
Deanna Needell, Rayan Saab, Tina Woolf
Binary, or one-bit, representations of data arise naturally in many applications, and are appealing in both hardware implementations and algorithm design. In this work, we study th…
cs.LG2017
An Asynchronous Parallel Approach to Sparse Recovery
Deanna Needell, Tina Woolf
Asynchronous parallel computing and sparse recovery are two areas that have received recent interest. Asynchronous algorithms are often studied to solve optimization problems where…
cs.IT2016
Weighted -Minimization for Sparse Recovery under Arbitrary Prior Information
Deanna Needell, Rayan Saab, Tina Woolf
Weighted -minimization has been studied as a technique for the reconstruction of a sparse signal from compressively sampled measurements when prior information about the si…