Nam H. Nguyen

发表

Quantum learning with noise and decoherence: a robust quantum neural network

Elizabeth C. Behrman, Nam H. Nguyen, James Edward Steck, 2020, Quantum Mach. Intell..

Improving information availability in storage-centric sensor networks

Douglas L. Jones, Peng Xie, Sudha Krishnamurthy, 2008, 2008 33rd IEEE Conference on Local Computer Networks (LCN).

Fast and Efficient Compressive Sensing Using Structurally Random Matrices

Trac D. Tran, Lu Gan, Thong T. Do, 2011, IEEE Transactions on Signal Processing.

Robust Lasso With Missing and Grossly Corrupted Observations

Trac D. Tran, Nam H. Nguyen, T. Tran, 2011, IEEE Transactions on Information Theory.

Biomimetic Flow Imaging with an Artificial Fish Lateral Line

Douglas L. Jones, Chang Liu, Nannan Chen, 2008, BIOSIGNALS.

A fast and efficient algorithm for low-rank approximation of a matrix

Trac D. Tran, Thong T. Do, Nam H. Nguyen, 2009, STOC '09.

A Scale Invariant Flatness Measure for Deep Network Minima pdf

Trac D. Tran, Akshay Rangamani, Dzung T. Phan, 2019, ArXiv.

Experimental pairwise entanglement estimation for an N-qubit system

Elizabeth C. Behrman, Nam H. Nguyen, James Edward Steck, 2020, Quantum Inf. Process..

When Does Stochastic Gradient Algorithm Work Well? pdf

Lam M. Nguyen, Katya Scheinberg, Jayant Kalagnanam, 2018, ArXiv.

Robust multi-sensor classification via joint sparse representation

Trac D. Tran, Nasser M. Nasrabadi, Nam H. Nguyen, 2011, 14th International Conference on Information Fusion.

Exact Recoverability From Dense Corrupted Observations via $\ell _{1}$-Minimization

Trac D. Tran, Nam H. Nguyen, T. Tran, 2011, IEEE Transactions on Information Theory.

A fast and efficient heuristic nuclear-norm algorithm for affine rank minimization

Trac D. Tran, Lu Gan, Yi Chen, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Collaborative Multi-Sensor Classification Via Sparsity-Based Representation

Trac D. Tran, Nasser M. Nasrabadi, Minh Dao, 2014, IEEE Transactions on Signal Processing.

Multi-sensor joint kernel sparse representation for personnel detection

Trac D. Tran, Nasser M. Nasrabadi, Nam H. Nguyen, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Sparse beamforming for active underwater electrolocation

Douglas L. Jones, Nam H. Nguyen, Ingo Wiegand, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Stability analysis of layered digital dynamic networks using dissipativity theory

Martin Hagan, Nam H. Nguyen, M. Hagan, 2011, The 2011 International Joint Conference on Neural Networks.

Tensor sparsification via a bound on the spectral norm of random tensors pdf

Trac D. Tran, Petros Drineas, Nam H. Nguyen, 2010, ArXiv.

Flow Vision for Autonomous Underwater Vehicles via an Artificial Lateral Line

Douglas L. Jones, Chang Liu, Nam H. Nguyen, 2011, EURASIP J. Adv. Signal Process..

A Scale Invariant Measure of Flatness for Deep Network Minima

Trac D. Tran, Sang Peter Chin, Akshay Rangamani, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sparsity adaptive matching pursuit algorithm for practical compressed sensing

Thong T. Do, Nam H. Nguyen, T. Do, 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

Matrix sparsification via the Khintchine inequality

Nam H. Nguyen, Petros Drineas, T. Tran, 2010 .

FAST AND EFFICIENT DIMENSIONALITY REDUCTION USING STRUCTURALLY RANDOMMATRICES

Nam H. Nguyen, T. Do, Lu Gan, 2009 .

THE STABILITY OF REGULARIZED ORTHOGONAL MATCHING PURSUIT ALGORITHM

Nam H. Nguyen, 2007 .

Stochastic Greedy Methods with Sparse Constraints

Nam H. Nguyen, D. Needell, Tina Woolf, 2015 .

Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints

Deanna Needell, Nam Nguyen, Nam H. Nguyen, 2014, IEEE Transactions on Information Theory.

Submitted to Ieee Transactions on Signal Processing 1 Collaborative Multi-sensor Classification via Sparsity-based Representation

Nam H. Nguyen, N. Nasrabadi, T. Tran, 2022 .