Optimal decision fusion with applications to target detection in wireless ad hoc sensor networks. - Marco F. Duarte; Yu Hen Hu (ICME, 2004)

Vehicle classification in distributed sensor networks. - Marco F. Duarte; Yu Hen Hu (J. Parallel Distributed Comput., 2004)

Distance-Based Decision Fusion in a Distributed Wireless Sensor Network. - Marco F. Duarte; Yu Hen Hu (Telecommun. Syst., 2004)

Recovery of Jointly Sparse Signals from Few Random Projections. - Michael B. Wakin; Marco F. Duarte; Shriram Sarvotham; Dror Baron; Richard G. Baraniuk (NIPS, 2005)

A new compressive imaging camera architecture using optical-domain compression. - Dharmpal Takhar; Jason N. Laska; Michael B. Wakin; Marco F. Duarte; Dror Baron; Shriram Sarvotham; Kevin F. Kelly; Richard G. Baraniuk (Computational Imaging, 2006)

Sparse Signal Detection from Incoherent Projections. - Marco F. Duarte; Mark A. Davenport; Michael B. Wakin; Richard G. Baraniuk (ICASSP (3), 2006)

Random Filters for Compressive Sampling and Reconstruction. - Joel A. Tropp; Michael B. Wakin; Marco F. Duarte; Dror Baron; Richard G. Baraniuk (ICASSP (3), 2006)

An Architecture for Compressive Imaging. - Michael B. Wakin; Jason N. Laska; Marco F. Duarte; Dror Baron; Shriram Sarvotham; Dharmpal Takhar; Kevin F. Kelly; Richard G. Baraniuk (ICIP, 2006)

Universal distributed sensing via random projections. - Marco F. Duarte; Michael B. Wakin; Dror Baron; Richard G. Baraniuk (IPSN, 2006)

The smashed filter for compressive classification and target recognition. - Mark A. Davenport; Marco F. Duarte; Michael B. Wakin; Jason N. Laska; Dharmpal Takhar; Kevin F. Kelly; Richard G. Baraniuk (Computational Imaging, 2007)

Multiscale Random Projections for Compressive Classification. - Marco F. Duarte; Mark A. Davenport; Michael B. Wakin; Jason N. Laska; Dharmpal Takhar; Kevin F. Kelly; Richard G. Baraniuk (ICIP (6), 2007)

Theory and Implementation of an Analog-to-Information Converter using Random Demodulation. - Jason N. Laska; Sami Kirolos; Marco F. Duarte; Tamer Ragheb; Richard G. Baraniuk; Yehia Massoud (ISCAS, 2007)

Computer Vision, Image Analysis, and Master Art: Part 3. - David G. Stork; Marco F. Duarte (IEEE Multim., 2007)

Revisiting Computer Image Analysis and Art. - David G. Stork; Marco F. Duarte (IEEE Multim., 2007)

Compressive Sensing for Background Subtraction. - Volkan Cevher; Aswin C. Sankaranarayanan; Marco F. Duarte; Dikpal Reddy; Richard G. Baraniuk; Rama Chellappa (ECCV (2), 2008)

Distributed target localization via spatial sparsity. - Volkan Cevher; Marco F. Duarte; Richard G. Baraniuk (EUSIPCO, 2008)

Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model. - Marco F. Duarte; Michael B. Wakin; Richard G. Baraniuk (ICASSP, 2008)

Sparse Signal Recovery Using Markov Random Fields. - Volkan Cevher; Marco F. Duarte; Chinmay Hegde; Richard G. Baraniuk (NIPS, 2008)

Single-pixel imaging via compressive sampling. - Marco F. Duarte; Mark A. Davenport; Dharmpal Takhar; Jason N. Laska; Ting Sun; Kevin F. Kelly; Richard G. Baraniuk (IEEE Signal Process. Mag., 2008)

Model-based compressive sensing for signal ensembles. - Marco F. Duarte; Volkan Cevher; Richard G. Baraniuk (Allerton, 2009)

Recovery of compressible signals in unions of subspaces. - Marco F. Duarte; Chinmay Hegde; Volkan Cevher; Richard G. Baraniuk (CISS, 2009)

A Theoretical Analysis of Joint Manifolds - Mark A. Davenport; Chinmay Hegde; Marco F. Duarte; Richard G. Baraniuk (CoRR, 2009)

Distributed Compressive Sensing - Dror Baron; Marco F. Duarte; Michael B. Wakin; Shriram Sarvotham; Richard G. Baraniuk (CoRR, 2009)

High Dimensional Data Fusion via Joint Manifold Learning. - Mark A. Davenport; Chinmay Hegde; Marco F. Duarte; Richard G. Baraniuk (AAAI Fall Symposium: Manifold Learning and Its Applications, 2010)

Multiuser detection in asynchronous on-off random access channels using lasso. - Lorne Applebaum; Waheed U. Bajwa; Marco F. Duarte; A. Robert Calderbank (Allerton, 2010)

Recovery of frequency-sparse signals from compressive measurements. - Marco F. Duarte; Richard G. Baraniuk (Allerton, 2010)

Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation. - Eva L. Dyer; Marco F. Duarte; Don H. Johnson; Richard G. Baraniuk (LVA/ICA, 2010)

Kronecker product matrices for compressive sensing. - Marco F. Duarte; Richard G. Baraniuk (ICASSP, 2010)

Texas Hold 'Em algorithms for distributed compressive sensing. - Stephen R. Schnelle; Jason N. Laska; Chinmay Hegde; Marco F. Duarte; Mark A. Davenport; Richard G. Baraniuk (ICASSP, 2010)

Joint Manifolds for Data Fusion. - Mark A. Davenport; Chinmay Hegde; Marco F. Duarte; Richard G. Baraniuk (IEEE Trans. Image Process., 2010)

Model-based compressive sensing. - Richard G. Baraniuk; Volkan Cevher; Marco F. Duarte; Chinmay Hegde (IEEE Trans. Inf. Theory, 2010)

Beyond Nyquist: efficient sampling of sparse bandlimited signals. - Joel A. Tropp; Jason N. Laska; Marco F. Duarte; Justin K. Romberg; Richard G. Baraniuk (IEEE Trans. Inf. Theory, 2010)

Universal MAP estimation in compressed sensing. - Dror Baron; Marco F. Duarte (Allerton, 2011)

Virtual underpainting reconstruction from X-ray fluorescence imaging data. - Anila Anitha; Andrei Brasoveanu; Marco F. Duarte; Shannon M. Hughes; Ingrid Daubechies; Joris Dik; Koen Janssens; Matthias Alfeld (EUSIPCO, 2011)

The value of redundant measurement in compressed sensing. - Victoria Kostina; Marco F. Duarte; Sina Jafarpour; A. Robert Calderbank (ICASSP, 2011)

Bounds on the Reconstruction of Sparse Signal Ensembles from Distributed Measurements - Marco F. Duarte; Michael B. Wakin; Dror Baron; Shriram Sarvotham; Richard G. Baraniuk (CoRR, 2011)

Structured Compressed Sensing: From Theory to Applications. - Marco F. Duarte; Yonina C. Eldar (IEEE Trans. Signal Process., 2011)

Introduction to compressed sensing. - Mark A. Davenport; Marco F. Duarte; Yonina C. Eldar; Gitta Kutyniok (Compressed Sensing, 2012)

Melanoma classification from Hidden Markov Tree features. - Marco F. Duarte; Thomas E. Matthews; Warren S. Warren; A. Robert Calderbank (ICASSP, 2012)

Beyond worst-case reconstruction in deterministic compressed sensing. - Sina Jafarpour; Marco F. Duarte; A. Robert Calderbank (ISIT, 2012)

Localization and bearing estimation via structured sparsity models. - Marco F. Duarte (SSP, 2012)

Grouped incoherent measurements for compressive sensing. - Adam C. Polak; Marco F. Duarte; Dennis L. Goeckel (SSP, 2012)

Signal Recovery in Compressed Sensing via Universal Priors - Dror Baron; Marco F. Duarte (CoRR, 2012)

Asynchronous code-division random access using convex optimization. - Lorne Applebaum; Waheed U. Bajwa; Marco F. Duarte; A. Robert Calderbank (Phys. Commun., 2012)

Kronecker Compressive Sensing. - Marco F. Duarte; Richard G. Baraniuk (IEEE Trans. Image Process., 2012)

Non-homogeneous hidden Markov chain models for wavelet-based hyperspectral image processing. - Marco F. Duarte; Mario Parente (Allerton, 2013)

A Matlab toolbox for visualization of image manifolds. - Kevin Eykholt; Marco F. Duarte (GlobalSIP, 2013)

Compressive time delay estimation using interpolation. - Karsten Fyhn Nielsen; Søren Holdt Jensen; Marco F. Duarte (GlobalSIP, 2013)

Spectral compressive sensing with polar interpolation. - Karsten Fyhn; Hamid Dadkhahi; Marco F. Duarte (ICASSP, 2013)

Recovery of sparse signals from amplitude-limited sample sets. - Adam C. Polak; Marco F. Duarte; Robert W. Jackson; Dennis Goeckel (ICASSP, 2013)

A new semantic wavelet-based spectral representation. - Mario Parente; Marco F. Duarte (WHISPERS, 2013)

Restoration of X-ray fluorescence images of hidden paintings. - Anila Anitha; Andrei Brasoveanu; Marco F. Duarte; Shannon M. Hughes; Ingrid Daubechies; Joris Dik; Koen Janssens; Matthias Alfeld (Signal Process., 2013)

Measurement Bounds for Sparse Signal Ensembles via Graphical Models. - Marco F. Duarte; Michael B. Wakin; Dror Baron; Shriram Sarvotham; Richard G. Baraniuk (IEEE Trans. Inf. Theory, 2013)

Performance of the Delsarte-Goethals Frame on Clustered Sparse Vectors. - Marco F. Duarte; Sina Jafarpour; A. Robert Calderbank (IEEE Trans. Signal Process., 2013)

Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs. - Waheed U. Bajwa; Marco F. Duarte; A. Robert Calderbank (AISTATS, 2014)

Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification. - Siwei Feng; Yuki Itoh; Mario Parente; Marco F. Duarte (ICIP, 2014)

Hyperspectral unmixing via semantic spectral representations. - Yuki Itoh; Siwei Feng; Marco F. Duarte; Mario Parente (MWSCAS, 2014)

Masking schemes for image manifolds. - Hamid Dadkhahi; Marco F. Duarte (SSP, 2014)

Complexity-adaptive universal signal estimation for compressed sensing. - Junan Zhu; Dror Baron; Marco F. Duarte (SSP, 2014)

Performance of Compressive Parameter Estimation via K-Median Clustering. - Dian Mo; Marco F. Duarte (CoRR, 2014)

Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection. - Rebecca M. Willett; Marco F. Duarte; Mark A. Davenport; Richard G. Baraniuk (IEEE Signal Process. Mag., 2014)

Design of spectrally shaped binary sequences via randomized convex relaxations. - Dian Mo; Marco F. Duarte (ACSSC, 2015)

Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures. - Siwei Feng; Marco F. Duarte; Mario Parente (CVPR Workshops, 2015)

Image masking schemes for local manifold learning methods. - Hamid Dadkhahi; Marco F. Duarte (ICASSP, 2015)

Compressive parameter estimation via approximate message passing. - Shermin Hamzehei; Marco F. Duarte (ICASSP, 2015)

Isomap out-of-sample extension for noisy time series data. - Hamid Dadkhahi; Marco F. Duarte; Benjamin M. Marlin (MLSP, 2015)

Performance guarantees for sparse regression-based unmixing. - Yuki Itoh; Marco F. Duarte; Mario Parente (WHISPERS, 2015)

Conditioning of Random Block Subdictionaries With Applications to Block-Sparse Recovery and Regression. - Waheed U. Bajwa; Marco F. Duarte; A. Robert Calderbank (IEEE Trans. Inf. Theory, 2015)

Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation. - Karsten Fyhn Nielsen; Marco F. Duarte; Søren Holdt Jensen (IEEE Trans. Signal Process., 2015)

Performance Bounds for Grouped Incoherent Measurements in Compressive Sensing. - Adam C. Polak; Marco F. Duarte; Dennis L. Goeckel (IEEE Trans. Signal Process., 2015)

Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation. - Junan Zhu; Dror Baron; Marco F. Duarte (IEEE Trans. Signal Process., 2015)

Compressive direction-of-arrival estimation off the grid. - Shermin Hamzehei; Marco F. Duarte (ACSSC, 2016)

Compressive line spectrum estimation with clustering and interpolation. - Dian Mo; Marco F. Duarte (CISS, 2016)

Band selection from statistical wavelet models. - Siwei Feng; Yuki Itoh; Mario Parente; Marco F. Duarte (WHISPERS, 2016)

Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination. - Siwei Feng; Yuki Itoh; Mario Parente; Marco F. Duarte (CoRR, 2016)

Masking Strategies for Image Manifolds. - Hamid Dadkhahi; Marco F. Duarte (IEEE Trans. Image Process., 2016)

Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation. - Yuki Itoh; Siwei Feng; Marco F. Duarte; Mario Parente (CoRR, 2017)

Hyperspectral Band Selection From Statistical Wavelet Models. - Siwei Feng; Yuki Itoh; Mario Parente; Marco F. Duarte (IEEE Trans. Geosci. Remote. Sens., 2017)

Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation. - Yuki Itoh; Siwei Feng; Marco F. Duarte; Mario Parente (IEEE Trans. Geosci. Remote. Sens., 2017)

Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series. - Hamid Dadkhahi; Marco F. Duarte; Benjamin M. Marlin (IEEE Trans. Image Process., 2017)

Sparsity Based Efficient Cross-Correlation Techniques in Sensor Networks. - Prasant Misra; Wen Hu 001; Mingrui Yang; Marco F. Duarte; Sanjay Jha 001 (IEEE Trans. Mob. Comput., 2017)

Perfect Recovery Conditions for Non-negative Sparse Modeling. - Yuki Itoh; Marco F. Duarte; Mario Parente (IEEE Trans. Signal Process., 2017)

Graph Regularized Autoencoder-Based Unsupervised Feature Selection. - Siwei Feng; Marco F. Duarte (ACSSC, 2018)

A Novel Crowd-Resilient Visual Localization Algorithm Via Robust Pca Background Extraction. - Zhuorui Yang; Marco F. Duarte; Aura Ganz (ICASSP, 2018)

Multi-Branch Binary Modulation Sequences For Interferer Rejection. - Dian Mo; Marco F. Duarte (SSP, 2018)

Autoencoder Based Sample Selection for Self-Taught Learning. - Siwei Feng; Marco F. Duarte (CoRR, 2018)

Design of Spectrally Shaped Binary Sequences via Randomized Convex Relaxation. - Dian Mo; Marco F. Duarte (CoRR, 2018)

Mitigation of spectral leakage for single carrier, block-processing cognitive radio receivers. - Adam C. Polak; Mark Wagner; Marco F. Duarte; Robert W. Jackson; Dennis L. Goeckel (Digit. Commun. Networks, 2018)

Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation. - Siwei Feng; Marco F. Duarte (Neurocomputing, 2018)

Compressive parameter estimation via K-median clustering. - Dian Mo; Marco F. Duarte (Signal Process., 2018)

Few-shot learning-based human activity recognition. - Siwei Feng; Marco F. Duarte (Expert Syst. Appl., 2019)

Direction of Arrival Estimation for Complex Sources Through $ ell _1$ Norm Sparse Bayesian Learning. - Hua Bai; Marco F. Duarte; Ramakrishna Janaswamy (IEEE Signal Process. Lett., 2019)

Explainable Machine Learning for Scientific Insights and Discoveries. - Ribana Roscher; Bastian Bohn; Marco F. Duarte; Jochen Garcke (IEEE Access, 2020)

Autoencoder based sample selection for self-taught learning. - Siwei Feng; Han Yu 001; Marco F. Duarte (Knowl. Based Syst., 2020)

Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation. - Dian Mo; Marco F. Duarte (IEEE Trans. Signal Process., 2020)

Cramér-Rao Bounds for DoA Estimation of Sparse Bayesian Learning with the Laplace Prior. - Hua Bai; Marco F. Duarte; Ramakrishna Janaswamy (Sensors, 2023)

SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution. - Ritik Shah; Marco F. Duarte (CoRR, 2025)