Marco F. Duarte

Ramakrishna Janaswamy

Sensors, 2023

2020

Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Autoencoder based sample selection for self-taught learning.

[BibT_eX]

[DOI]

Han Yu

Knowl. Based Syst., 2020

Explainable Machine Learning for Scientific Insights and Discoveries.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Direction of Arrival Estimation for Complex Sources Through $\ell _1$ Norm Sparse Bayesian Learning.

[BibT_eX]

[DOI]

Hua Bai

Ramakrishna Janaswamy

IEEE Signal Process. Lett., 2019

Few-shot learning-based human activity recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

2018

Compressive parameter estimation via K-median clustering.

[BibT_eX]

[DOI]

Signal Process., 2018

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

[BibT_eX]

[DOI]

Neurocomputing, 2018

Mitigation of spectral leakage for single carrier, block-processing cognitive radio receivers.

[BibT_eX]

[DOI]

Digit. Commun. Networks, 2018

Design of Spectrally Shaped Binary Sequences via Randomized Convex Relaxation.

[BibT_eX]

[DOI]

CoRR, 2018

Autoencoder Based Sample Selection for Self-Taught Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Branch Binary Modulation Sequences For Interferer Rejection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A Novel Crowd-Resilient Visual Localization Algorithm Via Robust Pca Background Extraction.

[BibT_eX]

[DOI]

Zhuorui Yang

Aura Ganz

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graph Regularized Autoencoder-Based Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Perfect Recovery Conditions for Non-negative Sparse Modeling.

[BibT_eX]

[DOI]

Yuki Itoh

IEEE Trans. Signal Process., 2017

Sparsity Based Efficient Cross-Correlation Techniques in Sensor Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2017

Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.

[BibT_eX]

[DOI]

Benjamin M. Marlin

IEEE Trans. Image Process., 2017

Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Hyperspectral Band Selection From Statistical Wavelet Models.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

2016

Masking Strategies for Image Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination.

[BibT_eX]

[DOI]

CoRR, 2016

Band selection from statistical wavelet models.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Compressive line spectrum estimation with clustering and interpolation.

[BibT_eX]

[DOI]

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

Compressive direction-of-arrival estimation off the grid.

[BibT_eX]

[DOI]

Shermin Hamzehei

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation.

[BibT_eX]

[DOI]

Junan Zhu

IEEE Trans. Signal Process., 2015

Performance Bounds for Grouped Incoherent Measurements in Compressive Sensing.

[BibT_eX]

[DOI]

Adam C. Polak

Dennis L. Goeckel

IEEE Trans. Signal Process., 2015

Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation.

[BibT_eX]

[DOI]

Karsten Fyhn Nielsen

Søren Holdt Jensen

IEEE Trans. Signal Process., 2015

Conditioning of Random Block Subdictionaries With Applications to Block-Sparse Recovery and Regression.

[BibT_eX]

[DOI]

Waheed U. Bajwa

IEEE Trans. Inf. Theory, 2015

Performance guarantees for sparse regression-based unmixing.

[BibT_eX]

[DOI]

Yuki Itoh

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.

[BibT_eX]

[DOI]

Benjamin M. Marlin

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Compressive parameter estimation via approximate message passing.

[BibT_eX]

[DOI]

Shermin Hamzehei

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Image masking schemes for local manifold learning methods.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Design of spectrally shaped binary sequences via randomized convex relaxations.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2014

Performance of Compressive Parameter Estimation via K-Median Clustering.

[BibT_eX]

[DOI]

CoRR, 2014

Complexity-adaptive universal signal estimation for compressed sensing.

[BibT_eX]

[DOI]

Junan Zhu

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Masking schemes for image manifolds.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Hyperspectral unmixing via semantic spectral representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014

Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Waheed U. Bajwa

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Performance of the Delsarte-Goethals Frame on Clustered Sparse Vectors.

[BibT_eX]

[DOI]

Sina Jafarpour

IEEE Trans. Signal Process., 2013

Measurement Bounds for Sparse Signal Ensembles via Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2013

Restoration of X-ray fluorescence images of hidden paintings.

[BibT_eX]

[DOI]

Signal Process., 2013

A new semantic wavelet-based spectral representation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Spectral compressive sensing with polar interpolation.

[BibT_eX]

[DOI]

Karsten Fyhn

Proceedings of the IEEE International Conference on Acoustics, 2013

Compressive time delay estimation using interpolation.

[BibT_eX]

[DOI]

Karsten Fyhn Nielsen

Søren Holdt Jensen

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A Matlab toolbox for visualization of image manifolds.

[BibT_eX]

[DOI]

Kevin Eykholt

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Non-homogeneous hidden Markov chain models for wavelet-based hyperspectral image processing.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Kronecker Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

Asynchronous code-division random access using convex optimization.

[BibT_eX]

[DOI]

Phys. Commun., 2012

Signal Recovery in Compressed Sensing via Universal Priors

[BibT_eX]

[DOI]

CoRR, 2012

Grouped incoherent measurements for compressive sensing.

[BibT_eX]

[DOI]

Adam C. Polak

Dennis L. Goeckel

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Localization and bearing estimation via structured sparsity models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Beyond worst-case reconstruction in deterministic compressed sensing.

[BibT_eX]

[DOI]

Sina Jafarpour

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Melanoma classification from Hidden Markov Tree features.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Introduction to compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the Compressed Sensing, 2012

2011

Structured Compressed Sensing: From Theory to Applications.

[BibT_eX]

[DOI]

Yonina C. Eldar

IEEE Trans. Signal Process., 2011

Bounds on the Reconstruction of Sparse Signal Ensembles from Distributed Measurements

[BibT_eX]

[DOI]

CoRR, 2011

The value of redundant measurement in compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Virtual underpainting reconstruction from X-ray fluorescence imaging data.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

Universal MAP estimation in compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Beyond Nyquist: efficient sampling of sparse bandlimited signals.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

Model-based compressive sensing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

Joint Manifolds for Data Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2010

Texas Hold 'Em algorithms for distributed compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Kronecker product matrices for compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation.

[BibT_eX]

[DOI]

Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Recovery of frequency-sparse signals from compressive measurements.

[BibT_eX]

[DOI]

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Multiuser detection in asynchronous on-off random access channels using lasso.

[BibT_eX]

[DOI]

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

High Dimensional Data Fusion via Joint Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the Manifold Learning and Its Applications, 2010

2009

Distributed Compressive Sensing

[BibT_eX]

[DOI]

CoRR, 2009

A Theoretical Analysis of Joint Manifolds

[BibT_eX]

[DOI]

CoRR, 2009

Recovery of compressible signals in unions of subspaces.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

Model-based compressive sensing for signal ensembles.

[BibT_eX]

[DOI]

Volkan Cevher

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Single-pixel imaging via compressive sampling.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2008

Sparse Signal Recovery Using Markov Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model.

[BibT_eX]

[DOI]

Michael B. Wakin

Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed target localization via spatial sparsity.

[BibT_eX]

[DOI]

Volkan Cevher

Aswin C. Sankaranarayanan

Proceedings of the 2008 16th European Signal Processing Conference, 2008

Compressive Sensing for Background Subtraction.

[BibT_eX]

[DOI]

Volkan Cevher

Proceedings of the Computer Vision, 2008

2007

Revisiting Computer Image Analysis and Art.

[BibT_eX]

[DOI]

David G. Stork

IEEE Multim., 2007

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

[BibT_eX]

[DOI]

David G. Stork

IEEE Multim., 2007

Theory and Implementation of an Analog-to-Information Converter using Random Demodulation.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Multiscale Random Projections for Compressive Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2007

The smashed filter for compressive classification and target recognition.

[BibT_eX]

[DOI]

Proceedings of the Computational Imaging V, San Jose, 2007

2006

Universal distributed sensing via random projections.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

An Architecture for Compressive Imaging.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2006

Random Filters for Compressive Sampling and Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Sparse Signal Detection from Incoherent Projections.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A new compressive imaging camera architecture using optical-domain compression.

[BibT_eX]

[DOI]

Proceedings of the Computational Imaging IV, San Jose, 2006

2005

Recovery of Jointly Sparse Signals from Few Random Projections.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yu Hen Hu

Telecommun. Syst., 2004

Vehicle classification in distributed sensor networks.

[BibT_eX]

[DOI]

Yu Hen Hu

J. Parallel Distributed Comput., 2004

Optimal decision fusion with applications to target detection in wireless ad hoc sensor networks.

[BibT_eX]

[DOI]