Marco F. Duarte

Orcid: 0000-0001-8410-3266

According to our database1, Marco F. Duarte authored at least 96 papers between 2004 and 2023.

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Bibliography

2023
Cramér-Rao Bounds for DoA Estimation of Sparse Bayesian Learning with the Laplace Prior.
Sensors, 2023

2020
Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation.
IEEE Trans. Signal Process., 2020

Autoencoder based sample selection for self-taught learning.
Knowl. Based Syst., 2020

Explainable Machine Learning for Scientific Insights and Discoveries.
IEEE Access, 2020

2019
Direction of Arrival Estimation for Complex Sources Through $\ell _1$ Norm Sparse Bayesian Learning.
IEEE Signal Process. Lett., 2019

Few-shot learning-based human activity recognition.
Expert Syst. Appl., 2019

2018
Compressive parameter estimation via K-median clustering.
Signal Process., 2018

Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation.
Neurocomputing, 2018

Mitigation of spectral leakage for single carrier, block-processing cognitive radio receivers.
Digit. Commun. Networks, 2018

Design of Spectrally Shaped Binary Sequences via Randomized Convex Relaxation.
CoRR, 2018

Autoencoder Based Sample Selection for Self-Taught Learning.
CoRR, 2018

Multi-Branch Binary Modulation Sequences For Interferer Rejection.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A Novel Crowd-Resilient Visual Localization Algorithm Via Robust Pca Background Extraction.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graph Regularized Autoencoder-Based Unsupervised Feature Selection.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Perfect Recovery Conditions for Non-negative Sparse Modeling.
IEEE Trans. Signal Process., 2017

Sparsity Based Efficient Cross-Correlation Techniques in Sensor Networks.
IEEE Trans. Mob. Comput., 2017

Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.
IEEE Trans. Image Process., 2017

Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation.
IEEE Trans. Geosci. Remote. Sens., 2017

Hyperspectral Band Selection From Statistical Wavelet Models.
IEEE Trans. Geosci. Remote. Sens., 2017

Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation.
CoRR, 2017

2016
Masking Strategies for Image Manifolds.
IEEE Trans. Image Process., 2016

Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination.
CoRR, 2016

Band selection from statistical wavelet models.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Compressive line spectrum estimation with clustering and interpolation.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

Compressive direction-of-arrival estimation off the grid.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation.
IEEE Trans. Signal Process., 2015

Performance Bounds for Grouped Incoherent Measurements in Compressive Sensing.
IEEE Trans. Signal Process., 2015

Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation.
IEEE Trans. Signal Process., 2015

Conditioning of Random Block Subdictionaries With Applications to Block-Sparse Recovery and Regression.
IEEE Trans. Inf. Theory, 2015

Performance guarantees for sparse regression-based unmixing.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Isomap out-of-sample extension for noisy time series data.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Compressive parameter estimation via approximate message passing.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Image masking schemes for local manifold learning methods.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Design of spectrally shaped binary sequences via randomized convex relaxations.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection.
IEEE Signal Process. Mag., 2014

Performance of Compressive Parameter Estimation via K-Median Clustering.
CoRR, 2014

Complexity-adaptive universal signal estimation for compressed sensing.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Masking schemes for image manifolds.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Hyperspectral unmixing via semantic spectral representations.
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014

Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Performance of the Delsarte-Goethals Frame on Clustered Sparse Vectors.
IEEE Trans. Signal Process., 2013

Measurement Bounds for Sparse Signal Ensembles via Graphical Models.
IEEE Trans. Inf. Theory, 2013

Restoration of X-ray fluorescence images of hidden paintings.
Signal Process., 2013

A new semantic wavelet-based spectral representation.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Recovery of sparse signals from amplitude-limited sample sets.
Proceedings of the IEEE International Conference on Acoustics, 2013

Spectral compressive sensing with polar interpolation.
Proceedings of the IEEE International Conference on Acoustics, 2013

Compressive time delay estimation using interpolation.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A Matlab toolbox for visualization of image manifolds.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Non-homogeneous hidden Markov chain models for wavelet-based hyperspectral image processing.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Kronecker Compressive Sensing.
IEEE Trans. Image Process., 2012

Asynchronous code-division random access using convex optimization.
Phys. Commun., 2012

Signal Recovery in Compressed Sensing via Universal Priors
CoRR, 2012

Grouped incoherent measurements for compressive sensing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Localization and bearing estimation via structured sparsity models.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Beyond worst-case reconstruction in deterministic compressed sensing.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Melanoma classification from Hidden Markov Tree features.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Introduction to compressed sensing.
Proceedings of the Compressed Sensing, 2012

2011
Structured Compressed Sensing: From Theory to Applications.
IEEE Trans. Signal Process., 2011

Bounds on the Reconstruction of Sparse Signal Ensembles from Distributed Measurements
CoRR, 2011

The value of redundant measurement in compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2011

Virtual underpainting reconstruction from X-ray fluorescence imaging data.
Proceedings of the 19th European Signal Processing Conference, 2011

Universal MAP estimation in compressed sensing.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Beyond Nyquist: efficient sampling of sparse bandlimited signals.
IEEE Trans. Inf. Theory, 2010

Model-based compressive sensing.
IEEE Trans. Inf. Theory, 2010

Joint Manifolds for Data Fusion.
IEEE Trans. Image Process., 2010

Texas Hold 'Em algorithms for distributed compressive sensing.
Proceedings of the IEEE International Conference on Acoustics, 2010

Kronecker product matrices for compressive sensing.
Proceedings of the IEEE International Conference on Acoustics, 2010

Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Recovery of frequency-sparse signals from compressive measurements.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Multiuser detection in asynchronous on-off random access channels using lasso.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

High Dimensional Data Fusion via Joint Manifold Learning.
Proceedings of the Manifold Learning and Its Applications, 2010

2009
Distributed Compressive Sensing
CoRR, 2009

A Theoretical Analysis of Joint Manifolds
CoRR, 2009

Recovery of compressible signals in unions of subspaces.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

Model-based compressive sensing for signal ensembles.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Single-pixel imaging via compressive sampling.
IEEE Signal Process. Mag., 2008

Sparse Signal Recovery Using Markov Random Fields.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model.
Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed target localization via spatial sparsity.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Compressive Sensing for Background Subtraction.
Proceedings of the Computer Vision, 2008

2007
Revisiting Computer Image Analysis and Art.
IEEE Multim., 2007

Computer Vision, Image Analysis, and Master Art: Part 3.
IEEE Multim., 2007

Theory and Implementation of an Analog-to-Information Converter using Random Demodulation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Multiscale Random Projections for Compressive Classification.
Proceedings of the International Conference on Image Processing, 2007

The smashed filter for compressive classification and target recognition.
Proceedings of the Computational Imaging V, San Jose, 2007

2006
Universal distributed sensing via random projections.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

An Architecture for Compressive Imaging.
Proceedings of the International Conference on Image Processing, 2006

Random Filters for Compressive Sampling and Reconstruction.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Sparse Signal Detection from Incoherent Projections.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A new compressive imaging camera architecture using optical-domain compression.
Proceedings of the Computational Imaging IV, San Jose, 2006

2005
Recovery of Jointly Sparse Signals from Few Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Distance-Based Decision Fusion in a Distributed Wireless Sensor Network.
Telecommun. Syst., 2004

Vehicle classification in distributed sensor networks.
J. Parallel Distributed Comput., 2004

Optimal decision fusion with applications to target detection in wireless ad hoc sensor networks.
Proceedings of the IEEE 6th Workshop on Multimedia Signal Processing, 2004


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