402 citations · 875 across the 35 of their papers we have counts for
4 papers · 1 filter
Robust Lasso with missing and grossly corrupted observations
Nam H. Nguyen, Trac D. Tran
This paper studies the problem of accurately recovering a sparse vector from highly corrupted linear measurements where is…
Discriminative Local Sparse Representations for Robust Face Recognition
Yi Chen, Umamahesh Srinivas, Thong T. Do +2
A key recent advance in face recognition models a test face image as a sparse linear combination of a set of training face images. The resulting sparse representations have been sh…
Fast and Efficient Compressive Sensing using Structurally Random Matrices
Thong T. Do, Lu Gan, Nam H. Nguyen +1
This paper introduces a new framework of fast and efficient sensing matrices for practical compressive sensing, called Structurally Random Matrix (SRM). In the proposed framework,…
Exact recoverability from dense corrupted observations via minimization
Nam H. Nguyen, Trac. D. Tran
This paper confirms a surprising phenomenon first observed by Wright \textit{et al.} \cite{WYGSM_Face_2009_J} \cite{WM_denseError_2010_J} under different setting: given highly…