67 citations · 67 across the 1 of their papers we have counts for
7 papers
The recoverability limit for superresolution via sparsity
Laurent Demanet, Nam Nguyen
We consider the problem of robustly recovering a -sparse coefficient vector from the Fourier series that it generates, restricted to the interval . The difficulty of t…
Collaborative Multi-sensor Classification via Sparsity-based Representation
Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi +1
In this paper, we propose a general collaborative sparse representation framework for multi-sensor classification, which takes into account the correlations as well as complementar…
Linear Convergence of Stochastic Iterative Greedy Algorithms with Sparse Constraints
Nam Nguyen, Deanna Needell, Tina Woolf
Motivated by recent work on stochastic gradient descent methods, we develop two stochastic variants of greedy algorithms for possibly non-convex optimization problems with sparsity…
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…
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…