Marco F. Duarte
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Publications

My Erdös-Bacon number is 3 + 2 = 5.

Research Publication Profiles: Google Scholar, ORCID, arXiv

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Slides and posters are licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License.

Preprints

  1. Hao Dong, Sushma Suresh Babu, Marco F. Duarte, and Aura Ganz, “PERCEPT-V: Vision-Based Indoor Localization and Navigation via 3D Spatial Map Generation,” submitted for publication, 2022.

  2. Dian Mo and Marco F. Duarte, “Design of Spectrally Shaped Binary Sequences via Randomized Convex Relaxation,” submitted for publication, 2018.

Book Chapters and E-Books

  1. Marco F. Duarte, “Signals and Systems,” OpenStax CNX e-textbook, 2013.

  2. Marco F. Duarte, “Signal Theory,” OpenStax CNX e-textbook, 2013.

  3. Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar and Gitta Kutyniok, “Introduction to Compressed Sensing,” in Compressed Sensing: Theory and Applications, Y. Eldar and G. Kutyniok, eds., Cambridge University Press, 2011.

  4. David G. Stork, Jacob Collins, Marco F. Duarte, Yasuo Furuichi, Dave Kale, Ashutosh Kulkarni, M. Dirk Robinson, Sarah J. Schechener, Christopher W. Tyler, and Nicholas C. Williams, “Did early Renaissance painters trace optically projected images? The conclusion of independent scientists, art historians and artists,” in Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks, F. Stanco, S. Battiato, and G. Gallo, eds., CRC Press, 2011.

  5. Richard G. Baraniuk, Mark A. Davenport, Marco F. Duarte, and Chinmay Hegde, “An Introduction to Compressive Sensing,” OpenStax CNX e-textbook, 2011.

Journal and Magazine Articles

  1. Hua Bai, Marco F. Duarte, and Ramakrishna Janaswamy “Cramér–Rao Bounds for DoA Estimation of Sparse Bayesian Learning with the Laplace Prior,” MDPI Sensors, Vol. 23, No. 307, 2022.

  2. Dian Mo and Marco F. Duarte, “Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation,” IEEE Transactions on Signal Processing, Vol. 68, pp. 3769-3778, 2020.

  3. Ribana Roscher, Bastian Bohn, Marco F. Duarte, and Jochen Garcke, “Explainable Machine Learning for Scientific Insights and Discoveries,” IEEE Access, Vol. 8, No. 1, pp. 42200-42216, 2020.

  4. Siwei Feng, Han Yu, and Marco F. Duarte, “Autoencoder Based Sample Selection for Self-Taught Learning,” Knowledge-Based Systems, Vol. 192, 2020.

  5. Siwei Feng and Marco F. Duarte, “Few-Shot Learning-Based Human Activity Recognition,” Expert Systems with Applications, Vol. 138, Dec. 2019.

  6. Hua Bai, Marco F. Duarte, and Ramakrishna Janaswamy. “Direction of Arrival Estimation for Complex Sources through l1 Norm Sparse Bayesian Learning,” IEEE Signal Processing Letters, Vol. 26, No. 5, pp. 765-769, 2019.

  7. Siwei Feng and Marco F. Duarte, “Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation,” Neurocomputing, Vol. 312, pp. 310-323, 2018.

  8. Adam C. Polak, Mark Wagner, Marco F. Duarte, Dennis L. Goeckel, and Robert W. Jackson, “Mitigation of Spectral Leakage for Single Carrier, Block-Processing Cognitive Radio Receivers,” Digital Communications and Networks, Vol. 4, No. 2, pp. 106-110, 2018.

  9. Hamid Dadkhahi, Marco F. Duarte, and Benjamin Marlin, “Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series,” IEEE Transactions on Image Processing, Vol. 26, No. 11, pp. 5435-5446, 2017.

  10. Dian Mo and Marco F. Duarte, “Compressive Parameter Estimation via K-Median Clustering,” Elsevier Signal Processing, Vol. 142, pp. 36-52, 2017.

  11. Prasant Misra, Wen Hu, Mingrui Yang, Marco F. Duarte, and Sanjay Jha, “Sparsity-Based Efficient Cross-Correlation Techniques in Sensor Networks,” IEEE Transactions on Mobile Computing, Vol. 16, No. 7, pp. 2037-2050, 2017.

  12. Yuki Itoh, Siwei Feng, Marco F. Duarte, and Mario Parente, “Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 6, pp. 3272-3286, 2017.

  13. Siwei Feng, Yuki Itoh, Mario Parente, and Marco F. Duarte, “Hyperspectral Band Selection from Statistical Wavelet Models,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 4, pp. 2111-2123, 2017.

  14. Yuki Itoh, Marco F. Duarte, and Mario Parente, “Perfect Recovery Conditions for Non-Negative Sparse Modeling,” IEEE Transactions on Signal Processing, Vol. 65, No. 1, pp. 69-80, 2017.

  15. Hamid Dadkhahi and Marco F. Duarte, “Masking Strategies for Image Manifolds,” IEEE Transactions on Image Processing, Vol. 25, No. 9, pp. 4314-4328, 2016.

  16. Waheed U. Bajwa, Marco F. Duarte, and Robert Calderbank, “Conditioning of Random Block Subdictionaries with Applications to Block-Sparse Recovery and Regression,” IEEE Transactions on Information Theory, Vol. 61, No. 7, pp. 4060-4079, 2015.

  17. Adam C. Polak, Marco F. Duarte, and Dennis L. Goeckel, “Performance Bounds for Grouped Incoherent Measurements in Compressive Sensing,” IEEE Transactions on Signal Processing, Vol. 63, No. 11, pp. 2877-2887, 2015.

  18. Junan Zhu, Dror Baron and Marco F. Duarte, “Complexity-Matching Universal Signal Estimation in Compressed Sensing,” IEEE Transactions on Signal Processing, Vol. 63, No. 6, pp. 1512-1527, 2015.

  19. Karsten Fyhn, Marco F. Duarte, and Søren Holdt Jensen, “Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation,” IEEE Transactions on Signal Processing, Vol. 63, No. 4, pp. 870-881, 2015.

  20. Rebecca Willett, Marco F. Duarte, Mark A. Davenport, and Richard G. Baraniuk, “Sparsity and Structure in Hyperspectral Imaging: Sensing, Reconstruction, and Target Detection,” IEEE Signal Processing Magazine, Vol. 31, No. 1, pp. 116-126, 2014.

  21. Marco F. Duarte, Michael B. Wakin, Dror Baron, Shriram Sarvotham and Richard G. Baraniuk, “Measurement Bounds for Sparse Signal Ensembles via Graphical Models,” IEEE Transactions on Information Theory, Vol. 59, No. 7, pp. 4280-4289, 2013.

  22. Marco F. Duarte, Sina Jafarpour, and Robert Calderbank, “Performance of the Delsarte-Goethals Frame on Clustered Sparse Vectors,” IEEE Transactions on Signal Processing, Vol. 61, No. 8, pp. 1998-2008, 2013.

  23. Marco F. Duarte and Richard G. Baraniuk, “Spectral Compressive Sensing,” Applied and Computational Harmonic Analysis, Vol. 35, No. 1, pp. 111-129, 2013.

  24. Anila Anitha, Andrei Brasoveanu, Marco F. Duarte, Shannon Hughes, Ingrid Daubechies, Joris Dik, Koen Janssens, and Matthias Alfeld, “Restoration of X-Ray Fluorescence Images of Hidden Paintings,” Elsevier Signal Processing, Vol. 93 No. 3, pp. 592-604, 2013.

  25. Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte and Robert Calderbank, “Asynchronous Code-Division Random Access Using Convex Optimization,” Elsevier Physical Communications, Vol. 5 No. 2, pp. 129-147, 2012.

  26. Marco F. Duarte and Richard G. Baraniuk, “Kronecker Compressive Sensing,” IEEE Transactions on Image Processing, Vol. 21 No. 2, pp. 494-504, 2012.

  27. Marco F. Duarte, Godwin Shen, Antonio Ortega, and Richard G. Baraniuk, “Signal Compression in Wireless Sensor Networks,” Philosophical Transactions of the Royal Society A, Vol. 370 No. 1958, pp. 118-135, 2012.

  28. Marco F. Duarte and Yonina C. Eldar, “Structured Compressed Sensing: From Theory to Applications,” IEEE Transactions on Signal Processing, Vol. 59 No. 9, pp. 4053-4085, September 2011. (Won 2016 IEEE SPS Overview Paper Award)

  29. Mark A. Davenport, Chinmay Hegde, Marco F. Duarte and Richard G. Baraniuk, “Joint Manifolds for Data Fusion,” IEEE Transactions on Image Processing, Vol. 19 No. 10, pp. 2580-2594, October 2010.

  30. Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte and Chinmay Hegde, “Model-based Compressive Sensing,” IEEE Transactions on Information Theory, Vol. 56, No. 4, pp. 1982-2001, April 2010.

  31. Marco F. Duarte and David G. Stork, “Image Contour Fidelity Analysis of Mechanically Aided Enlargements of Jan Van Eyck's Albergati Portrait,” Leonardo, Vol. 43, No. 1, pp. 43-50, 2010.

  32. Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Justin K. Romberg and Richard G. Baraniuk, "Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals,” IEEE Transactions on Information Theory, Vol. 56, No. 1, pp. 520-544, January 2010. (Erratum to published version)

  33. Marco F. Duarte, Mark A. Davenport, Dharmpal Takhar, Jason N. Laska, Ting Sun, Kevin F. Kelly and Richard G. Baraniuk, “Single Pixel Imaging via Compressive Sampling,” IEEE Signal Processing Magazine, Vol. 25, No. 2, pp. 83-91, March 2008. (Erratum to published version) (Won 2020 IEEE Signal Processing Magazine Best Paper Award)

  34. David G. Stork and Marco F. Duarte, “Revisiting Computer Image Analysis and Art,” IEEE Multimedia, Vol. 14, No. 1, pp. 14-18, 2007.

  35. David G. Stork and Marco F. Duarte, “Computer Vision, Image Analysis and Master Art, Part III,” IEEE Multimedia, Vol. 14, No. 1, pp. 14-18, 2007.

  36. Marco Duarte and Yu-Hen Hu, “Vehicle Classification in Distributed Sensor Networks,” Journal of Parallel and Distributed Computing, Vol. 64 No. 7, pp. 826-838, 2004. (Erratum to published version)

  37. Marco Duarte and Yu-Hen Hu, “Distance Based Decision Fusion in Distributed Wireless Sensor Networks,” Telecommunication Systems, Vol. 26 No. 2-4, pp. 339-350, 2004.

Conference Papers and Abstracts

  1. Ribana Roscher, Bastian Bohn, Marco F. Duarte, and Jochen Garcke, “Explain It To Me - Facing Remote Sensing Challenges in the Bio- and Geosciences with Explainable Machine Learning,” Int. Society for Photogrammetry and Remote Sensing Congress (SPRS), 2020, Nice, France, pp. 817-824.

  2. Siwei Feng and Marco F. Duarte, “Graph Autoencoder-Based Unsupervised Feature Selection,” Asilomar Conference on Signals, Systems and Computation, 2018, Pacific Grove, CA, pp. 55-59.

  3. Dian Mo and Marco F. Duarte, “Multi-Branch Binary Modulation Sequences for Interferer Rejection,” IEEE Statistical Signal Processing Workshop (SSP), 2018, Freiburg, Germany, pp. 288-292.

  4. Zhuorui Yang, Marco F. Duarte, and Aura Ganz, “A Novel Crowd-Resilient Visual Localization Algorithm via Robust PCA Background Extraction,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018, Calgary, AB, pp. 1922-1926.

  5. Shermin Hamzehei and Marco F. Duarte, “Compressive Direction-of-Arrival Estimation Off The Grid,” Asilomar Conference on Signals, Systems and Computation, 2016, Pacific Grove, CA, pp. 1081-1085. (Poster)

  6. Siwei Feng, Yuki Itoh, Mario Parente, and Marco F. Duarte, “Band Selection from Statistical Wavelet Models,” IEEE/ISPRS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016, Los Angeles, CA.

  7. Dian Mo and Marco F. Duarte, “Compressive Line Spectrum Estimation with Clustering and Interpolation,” Conference on Information Sciences and Systems (CISS), 2016, Princeton, NJ, pp. 572-577.

  8. Dian Mo and Marco F. Duarte, “Design of Spectrally Shaped Binary Sequences via Randomized Convex Relaxations,” Asilomar Conference on Signals, Systems and Computation, 2015, Pacific Grove, CA, pp. 164-168.

  9. Hamid Dadkhahi, Marco F. Duarte, and Benjamin Marlin, “Isomap Out-of-Sample Extension for Noisy Time Series Data,” IEEE International Workshop on Machine Learning in Signal Processing (MLSP), 2015, Boston, MA.

  10. Siwei Feng, Marco F. Duarte, and Mario Parente, “Universality of Wavelet-Based Non-Homogeneous Hidden Markov Chain Model Features for Hyperspectral Signatures,” IEEE/ISPRS Workshop “Looking from Above: When Earth Observation Meets Vision” (EARTHVISION) at the Computer Vision and Pattern Recognition Conf. (CVPR), 2015, Boston, MA, pp. 19-27.

  11. Yuki Itoh, Marco F. Duarte, and Mario Parente, “Performance Guarantees for Sparse Regression-Based Unmixing,” IEEE/ISPRS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015, Tokyo, Japan.

  12. Shermin Hamzehei and Marco F. Duarte, “Compressive Parameter Estimation via Approximate Message Passing,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015, Brisbane, Australia, pp. 3327-3331. (Slides)

  13. Hamid Dadkhahi and Marco F. Duarte, “Image Masking Schemes for Local Manifold Learning Methods,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015, Brisbane, Australia, pp. 5768-5772. (Slides)

  14. Siwei Feng, Yuki Itoh, Mario Parente, and Marco F. Duarte, “Tailoring Non-Homogeneous Markov Chain Models for Hyperspectral Signature Classification,” IEEE International Conference on Image Processing (ICIP), 2014, Paris, France, pp. 5073-5077. (Poster)

  15. Yuki Itoh, Siwei Feng, Marco F. Duarte, and Mario Parente, “Hyperspectral Unmixing via Semantic Spectral Representations,” IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2014, College Station, TX, pp. 149-152.

  16. Hamid Dadkhahi and Marco F. Duarte, “Masking Schemes for Image Manifolds,” IEEE Statistical Signal Processing Workshop (SSP), 2014, Gold Coast, Australia pp. 256-259. (Poster)

  17. Junan Zhu, Dror Baron, and Marco F. Duarte, “Complexity-Adaptive Universal Signal Estimation for Compressed Sensing,” IEEE Statistical Signal Processing Workshop (SSP), 2014, Gold Coast, Australia, pp. 396-399. (Poster)

  18. Waheed U. Bajwa, Marco F. Duarte, and Robert Calderbank, “Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs,” International Conference on Artificial Intelligence and Statistics (AISTATS), 2014, Reykjavik, Iceland, pp. 57-67. (Poster)

  19. Kevin Eykholt and Marco F. Duarte, “A Matlab Toolbox for Visualization of Image Manifolds,” IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2013, Austin, TX, p. 633.

  20. Karsten Fyhn, Marco F. Duarte, and Søren Holdt Jensen, “Compressive Time Delay Estimation Using Interpolation,” IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2013, Austin, TX. p. 624.

  21. Marco F. Duarte and Mario Parente, “Non-Homogeneous Hidden Markov Chain Models for Wavelet-Based Hyperspectral Image Processing,” Allerton Conference on Communication, Control, and Computing, 2013, Monticello, IL, pp. 154-159. (Slides)

  22. Dian Mo and Marco F. Duarte, “Compressive Parameter Estimation with Earth Mover’s Distance via K-Median Clustering,” Wavelets and Sparsity XV at SPIE Optics and Electronics, 2013, San Diego, CA. (Slides)

  23. Mario Parente and Marco F. Duarte, “A New Semantic Wavelet-Based Spectral Representation,” IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2013, Gainesville, FL.

  24. Karsten Fyhn, Hamid Dadkhahi, and Marco F. Duarte, “Spectral Compressive Sensing with Polar Interpolation,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013, Vancouver, Canada, pp. 6225-6229.

  25. Adam C. Polak, Marco F. Duarte, Robert W. Jackson, and Dennis L. Goeckel, “Recovery of Sparse Signals from Amplitude-Limited Sample Sets,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013, Vancouver, Canada, pp. 4663-4667.

  26. Adam C. Polak, Marco F. Duarte, and Dennis L. Goeckel, “Grouped Incoherent Measurements for Compressive Sensing,” IEEE Statistical Signal Processing Workshop (SSP), 2012, Ann Arbor, MI. pp. 732-735.

  27. Marco F. Duarte, “Localization and Bearing Estimation via Structured Sparsity Models,” IEEE Statistical Signal Processing Workshop (SSP), 2012, Ann Arbor, MI, pp. 333-336. (Poster)

  28. Sina Jafarpour, Marco F. Duarte, and Robert Calderbank, “Beyond Worst-Case Reconstruction in Deterministic Compressed Sensing,” IEEE International Symposium on Information Theory (ISIT), 2012, Cambridge, MA, pp. 1852-1856.

  29. Marco F. Duarte, Thomas E. Matthews, Warren S. Warren, and Robert Calderbank, “Melanoma Classification from Hidden Markov Tree Features,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012, Kyoto, Japan. pp. 685-688. (Poster)

  30. Mary J. Simpson, Jesse W. Wilson, Thomas E. Matthews, Marco F. Duarte, Robert Calderbank, and Warren S. Warren, “Imaging the Distribution of Melanin in Human Skin Lesions with Pump-Probe Microscopy,” Laser Science, 2011, San Jose, CA.

  31. Dror Baron and Marco F. Duarte, “Universal MAP Estimation in Compressed Sensing,” Allerton Conference on Communication, Control, and Computing, 2011, Monticello, IL. pp. 768-775. (Erratum to published version)

  32. Anila Anitha, Andrei Brasoveanu, Marco F. Duarte, Shannon M. Hughes, Ingrid Daubechies, Joris Dik, Koen Janssens, and Matthias Alfeld, “Virtual Underpainting Reconstruction from X-Ray Fluorescence Imaging Data,” European Signal Processing Conference (EUSIPCO), 2011, Barcelona, Spain. pp. 1239-1243.

  33. Marco F. Duarte and Richard G. Baraniuk, “Compressive Sensing with Biorthogonal Wavelets via Structured Sparsity,” Workshop on Signal Processing with Adaptive Sparse Representations (SPARS), 2011, Edinburgh, Scotland. (Slides)

  34. Victoria Kostina, Marco F. Duarte, Sina Jafarpour, and Robert Calderbank, “The Value of Redundant Measurement in Compressed Sensing,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011, Prague, Czech Republic. pp. 3656-3659.

  35. Marco F. Duarte, Waheed Bajwa, and Robert Calderbank, “Regression Performance of Group Lasso for Arbitrary Design Matrices,” International Conference on Sampling Theory and its Applications (SampTA), 2011, Singapore. (Slides)

  36. Marco F. Duarte, Sina Jafarpour, and Robert Calderbank, “New Wavelet Coefficients Raster Scannings for Deterministic Compressive Imaging,” International Conference on Sampling Theory and its Applications (SampTA), 2011, Singapore. (Slides)

  37. Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, and Richard G. Baraniuk, “High-Dimensional Data Fusion via Joint Manifold Learning,” AAAI Fall 2010 Symposium on Manifold Learning, 2010, Arlington, VA. pp. 20-27.

  38. Marco F. Duarte and Richard G. Baraniuk, “Recovery of Frequency-Sparse Signals from Compressive Measurements,” Allerton Conference on Communication, Control, and Computing, 2010, Monticello, IL. pp. 599-606. (Slides)

  39. Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte, and Robert Calderbank, “Multiuser Detection in Asynchronous On-Off Random Channels Using Lasso,” Allerton Conference on Communication, Control, and Computing, 2010, Monticello, IL. pp. 130-137.

  40. Eva Dyer, Marco F. Duarte, Don H. Johnson and Richard G. Baraniuk, “Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation,” International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), 2010, Saint-Malo, France. pp. 604-611.

  41. Marco F. Duarte and Richard G. Baraniuk, “Kronecker Product Matrices for Compressive Sensing,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010, Dallas, TX. pp. 3650-3653. (Slides)

  42. Stephen Schnelle, Jason N. Laska, Chinmay Hegde, Marco F. Duarte, Mark A. Davenport, and Richard G. Baraniuk, “Texas Hold ‘Em Algorithms for Distributed Compressive Sensing,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010, Dallas, TX. pp. 2886-2889

  43. Ting Sun, Gary L. Woods, Marco F. Duarte, Kevin F. Kelly, Chengbo Li and Yin Zhang, “OBIC Measurements Without Lasers or Raster-Scanning Based on Compressive Sensing,” 35th International Symposium for Testing and Failure Analysis (ISTFA), 2009, San Jose, CA. pp. 272-277.

  44. Marco F. Duarte, Volkan Cevher, and RIchard G. Baraniuk “Model-Based Compressive Sensing for Signal Ensembles,” 47rd Allerton Conference on Communication, Control, and Computing, 2009, Monticello, IL. pp. 244-250. (Slides)

  45. Chinmay Hegde, Marco F. Duarte and Volkan Cevher, “Compressive Sensing Recovery of Spike Trains Using Structured Sparsity,” Workshop on Signal Processing with Adaptive Sparse Representations (SPARS), 2009, Saint Malo, France. (Erratum to published version) (Won best student paper award)

  46. Marco F. Duarte, Chinmay Hegde, Volkan Cevher and Richard G. Baraniuk, “Recovery of Compressible Signals in Unions of Subspaces,” Conference on Information Sciences and Systems (CISS), 2009, Baltimore, MD. pp. 175-180. (Slides)

  47. Volkan Cevher, Marco F. Duarte, Chinmay Hegde and Richard G. Baraniuk, “Sparse Signal Recovery Using Markov Random Fields,” Workshop on Neural Information Processing Systems (NIPS), 2008, Vancouver, Canada. pp. 257-264.

  48. Volkan Cevher, Aswin Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Baraniuk and Rama Chellappa, “Compressive Sensing for Background Subtraction,” European Conference on Computer Vision (ECCV), 2008, Marseille, France. pp. 155-168.

  49. Volkan Cevher, Marco F. Duarte and Richard G. Baraniuk, “Distributed Target Localization via Spatial Sparsity,” European Signal Processing Conference (EUSIPCO), 2008, Laussane, Switzerland.

  50. Marco F. Duarte, Shriram Sarvotham, Dror Baron, Michael B. Wakin and Richard G. Baraniuk, “Performance Limits for Jointly Sparse Signals via Graphical Models,” Sensor, Signal and Information Processing (SenSIP) Workshop, 2008, Sedona, AZ. (Poster)

  51. Marco F. Duarte, Michael B. Wakin and Richard G. Baraniuk, “Wavelet-Domain Compressive Signal Reconstruction Using a Hidden Markov Tree Model,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008, Las Vegas, NV. pp. 5137-5140. (Slides)

  52. Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly and Richard G. Baraniuk, “Multiscale Random Projections for Compressive Classification,” International Conference on Image Processing (ICIP), 2007, San Antonio, TX, pp. VI-161-164. (Slides)

  53. Petros Boufounos, Marco F. Duarte and Richard G. Baraniuk, “Sparse Signal Reconstruction from Noisy Compressive Measurements Using Cross Validation,” IEEE Statistical Signal Processing Workshop (SSP), 2007, Madison, WI, pp. 299-303. (Poster)

  54. Jason N. Laska, Sami Kirolos, Marco F. Duarte, Tamer Ragheb, Richard G. Baraniuk and Yehia Massoud, “Theory and Implementation of an Analog-to-Information Converter using Random Demodulation,” IEEE International Symposium on Circuits and Systems (ISCAS), 2007, New Orleans, LA, pp. 1959-1962.

  55. Mark A. Davenport, Marco F. Duarte, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly and Richard G. Baraniuk, “The Smashed Filter for Compressive Classification and Target Recognition,” Computational Imaging V at SPIE Electronic Imaging, 2007, San Jose, CA.

  56. David G. Stork and Marco F. Duarte, “Fidelity analysis of mechanically aided copying/enlarging of Jan van Eyck's ‘Portrait of Niccolò Albergati’,” Vision Geometry XV at SPIE Electronic Imaging, 2007, San Jose, CA.

  57. Sami Kirolos, Tamer Ragheb, Jason Laska, Marco F. Duarte, Yehia Massoud and Richard G. Baraniuk, “Practical Issues in Implementing Analog-to-Information Converters,” International Workshop on System-on-Chip for Real-Time Applications (IWSoC), 2006, Cairo, Egypt, pp. 141-146.

  58. Sami Kirolos, Jason Laska, Michael Wakin, Marco Duarte, Dror Baron, Tamer Ragheb, Yehia Massoud and Richard Baraniuk, “Analog-to-Information Conversion via Random Demodulation,” IEEE Dallas Circuits and Systems Workshop (DCAS), 2006, Dallas, TX. pp. 71-74.

  59. Michael B. Wakin, Jason N. Laska, Marco F. Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin F. Kelly and Richard G. Baraniuk, “An Architecture for Compressive Imaging,” International Conference on Image Processing (ICIP), 2006, Atlanta, GA, pp. 1273-1276. (Slides)

  60. Michael B. Wakin, Jason N. Laska, Marco F. Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin F. Kelly and Richard G. Baraniuk, “Compressive Imaging for Video Representation and Coding,” Picture Coding Symposium (PCS), 2006, Beijing, China.

  61. Marco F. Duarte, Mark A. Davenport, Michael B. Wakin and Richard G. Baraniuk, “Sparse Signal Detection from Incoherent Projections,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2006, Toulouse, France, pp. III-305-308.

  62. Joel A. Tropp, Michael B. Wakin, Marco F. Duarte, Dror Baron and Richard G. Baranuik, “Random Filters for Compressive Sampling and Reconstruction,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2006, Toulouse, France, pp. III-872-875.

  63. Marco F. Duarte, Michael B. Wakin, Dror Baron and Richard G. Baraniuk, “Universal Distributed Sensing via Random Projections,” International Conference on Information Processing in Sensor Networks (IPSN), 2006, Nashville, TN. pp. 177-185. (Slides)

  64. Dharmpal Takhar, Jason N. Laska, Michael B. Wakin, Marco F. Duarte, Dror Baron, Shriram Sarvotham, Kevin F. Kelly and Richard G. Baraniuk, “A New Compressive Imaging Camera Architecture using Optical-Domain Compression,” in Computational Imaging IV at SPIE Electronic Imaging, 2006, San Jose, CA. pp. 43-52. (Slides)

  65. Michael B. Wakin, Marco F. Duarte, Shriram Sarvotham, Dror Baron and Richard G. Baraniuk, “Recovery of Jointly Sparse Signals from Few Random Projections,” Workshop on Neural Information Processing Systems (NIPS), 2005, Vancouver, Canada. pp. 1435-1442.

  66. Marco F. Duarte, Shriram Sarvotham, Michael B. Wakin, Dror Baron and Richard G. Baraniuk, “Joint Sparsity Models for Distributed Compressed Sensing,” Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS), 2005, Rennes, France.

  67. Marco F. Duarte, Michael B. Wakin and Richard G. Baraniuk, “Fast Reconstruction of Piecewise Smooth Signals from Random Projections,” Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS), 2005, Rennes, France.

  68. Marco F. Duarte, Shriram Sarvotham, Dror Baron, Michael B. Wakin and Richard G. Baraniuk, “Distributed Compressed Sensing of Jointly Sparse Signals,” Asilomar Conference on Signals, Systems and Computation, 2005, Pacific Grove, CA. pp. 1537-1541. (Slides)

  69. Dror Baron, Marco F. Duarte, Shriram Sarvotham, Michael B. Wakin and Richard G. Baraniuk, “An Information Theoretic Approach to Distributed Compressed Sensing,” Allerton Conference on Communication, Control, and Computing, 2005, Monticello, IL. pp. 814-825.

  70. Marco F. Duarte and Yu-Hen Hu, “Optimal Decision Fusion With Applications to Target Detection in Wireless Ad Hoc Sensor Networks,” IEEE International Workshop on Multimedia Signal Processing (MMSP), September 29 - October 1, 2004, Siena, Italy. pp. 319 - 322.

  71. Marco F. Duarte and Yu-Hen Hu, “Optimal Decision Fusion With Applications to Target Detection in Wireless Ad Hoc Sensor Networks,” IEEE International Conference On Multimedia And Expo (ICME), June 27-30, 2004, Taipei, Taiwan. pp. 1803-1806.

  72. Marco F. Duarte and Yu-Hen Hu, “Distance Based Decision Fusion in a Distributed Wireless Sensor Network,” International Workshop on Information Processing in Sensor Networks (IPSN), April 22-23, 2003, Palo Alto, CA. pp. 392-404. (Slides)

Technical Reports

  1. Siwei Feng, Yuki Itoh, Mario Parente, and Marco F. Duarte, “Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination,” Technical Report, February 2016.

  2. Adam C. Polak, Marco F. Duarte, and Dennis L. Goeckel, “Performance Bounds for Grouped Incoherent Measurements in Compressive Sensing,” Technical Report, May 2012.

  3. Marco F. Duarte and Richard G. Baraniuk, “Kronecker Product Matrices for Compressive Sensing,” Rice University Technical Report TREE-1105, March 2011.

  4. Marco F. Duarte, Waheed U. Bajwa and Robert Calderbank, “The Performance of Group Lasso for Linear Regression of Grouped Variables,” Duke University, Department of Computer Science Technical Report TR-2010-10, February 2011.

  5. Marco F. Duarte and Robert Calderbank, “The Null Space of the Delsarte-Goethals Frame,” Duke University, Department of Computer Science Technical Report TR-2010-09, February 2011.

  6. Waheed U. Bajwa, Robert Calderbank and Marco F. Duarte, “On the Conditioning of Random Block Subdictionaries,” Duke University, Department of Computer Science Technical Report TR-2010-06, September 2010.

  7. Marco F. Duarte and Richard G. Baraniuk, “Spectral Compressive Sensing,” Rice University Technical Report TREE-1005, February 2010.

  8. Mark A. Davenport, Chinmay Hegde, Marco F. Duarte and Richard G. Baraniuk, “A Theoretical Analysis of Joint Manifolds,” Rice University Technical Report TREE-0901, January 2009.

  9. Marco F. Duarte, Shriram Sarvotham, Michael B. Wakin, Dror Baron and Richard G. Baraniuk, “Theoretical Performance Limits for Jointly Sparse Signals via Graphical Models,” Rice University Technical Report TREE-0802, July 2008.

  10. Raymond Wagner, J. Ryan Stinnett, Marco F. Duarte, Richard G. Baraniuk, David B. Johnson and T. S. Eugene Ng. “A Network Application Programming Interface for Data Processing in Sensor Networks,” Rice University Technical Report TREE-0705, April 2007.

  11. Dror Baron, Michael B. Wakin, Marco F. Duarte, Shriram Sarvotham and Richard G. Baraniuk, “Distributed Compressed Sensing,” Rice University Technical Report TREE-0612, November 2006.

  12. Marco F. Duarte, Jason N. Laska and Richard G. Baraniuk, “Bounds for Signal to Noise Ratio in Analog to Information Converter Systems,” Rice University Technical Report TREE-0608, October 2006.

  13. Shriram Sarvotham, Michael B. Wakin, Dror Baron, Marco F. Duarte and Richard G. Baraniuk, “Analysis of the DCS one-stage greedy algorithm for common sparse supports,” Rice University Technical Report TREE-0503, October 2005.

  14. Marco F. Duarte, “Fast Reconstruction from Random Incoherent Projections,” Rice University Technical Report TREE-0507, May 2005.

Ph.D. Thesis

Marco F. Duarte, “Compressive Sensing for Signal Ensembles,” Rice University, July 2009