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Robert D. Nowak: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. André Jalobeanu, Robert D. Nowak, Josiane Zerubia, Mário A. T. Figueiredo
    Satellite and aerial image deconvolution using an EM method with complex wavelets. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:333-336 [Conf]
  2. Unoma Ndili, Robert D. Nowak, Mário A. T. Figueiredo
    Coding theoretic approach to image segmentation. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2001, pp:78-81 [Conf]
  3. Robert D. Nowak, Mário A. T. Figueiredo
    Image restoration under wavelet-domain priors: an expectation-maximization approach. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:337-340 [Conf]
  4. Robert D. Nowak, Mário A. T. Figueiredo
    Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1999, pp:26-30 [Conf]
  5. Robert D. Nowak, Klaus E. Timmermann
    Stationary Wavelet-based Intensity Models for Photon-Limited Imaging. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1998, pp:620-624 [Conf]
  6. R. Wagner, Robert D. Nowak, Richard G. Baraniuk
    Distributed image compression for sensor networks using correspondence analysis and super-resolution. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:597-600 [Conf]
  7. Mário A. T. Figueiredo, Robert D. Nowak
    A bound optimization approach to wavelet-based image deconvolution. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2005, pp:782-785 [Conf]
  8. Robert D. Nowak, Mário A. T. Figueiredo
    Unsupervised Segmentation of Poisson Data. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3159-3162 [Conf]
  9. Mark Coates, Michael Rabbat, Robert D. Nowak
    Merging logical topologies using end-to-end measurements. [Citation Graph (0, 0)][DBLP]
    Internet Measurement Comference, 2003, pp:192-203 [Conf]
  10. Yolanda Tsang, Mehmet Can Yildiz, Paul Barford, Robert D. Nowak
    Network radar: tomography from round trip time measurements. [Citation Graph (0, 0)][DBLP]
    Internet Measurement Conference, 2004, pp:175-180 [Conf]
  11. Michael Rabbat, Robert D. Nowak, Mark Coates
    Multiple Source, Multiple Destination Network Tomography. [Citation Graph (0, 0)][DBLP]
    INFOCOM, 2004, pp:- [Conf]
  12. Waheed Uz Zaman Bajwa, Jarvis Haupt, Akbar M. Sayeed, Robert D. Nowak
    Compressive wireless sensing. [Citation Graph (0, 0)][DBLP]
    IPSN, 2006, pp:134-142 [Conf]
  13. Waheed Uz Zaman Bajwa, Akbar M. Sayeed, Robert D. Nowak
    Matched source-channel communication for field estimation in wireless sensor networks. [Citation Graph (0, 0)][DBLP]
    IPSN, 2005, pp:332-339 [Conf]
  14. Michael Rabbat, Jarvis Haupt, Aarti Singh, Robert D. Nowak
    Decentralized compression and predistribution via randomized gossiping. [Citation Graph (0, 0)][DBLP]
    IPSN, 2006, pp:51-59 [Conf]
  15. Michael Rabbat, Robert D. Nowak
    Distributed optimization in sensor networks. [Citation Graph (0, 0)][DBLP]
    IPSN, 2004, pp:20-27 [Conf]
  16. Clayton Scott, Robert D. Nowak
    Learning Minimum Volume Sets. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  17. Clayton Scott, Robert D. Nowak
    A Novel Hierarchical Wavelet-Based Framework for Pattern Analysis and Synthesis. [Citation Graph (0, 0)][DBLP]
    SSIAI, 2000, pp:242-246 [Conf]
  18. Timothy Dorney, Richard G. Baraniuk, Daniel Mittleman, Robert D. Nowak
    Spectroscopic Imaging Using Terahertz Time-Domain Signals. [Citation Graph (0, 0)][DBLP]
    SSIAI, 2000, pp:151-155 [Conf]
  19. Yi Wan, Robert D. Nowak
    Overcomplete Image Representations and Locally Best Model Selection. [Citation Graph (0, 0)][DBLP]
    SSIAI, 2000, pp:68-72 [Conf]
  20. Clayton Scott, Robert D. Nowak
    Learning Minimum Volume Sets. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:665-704 [Journal]
  21. Mário A. T. Figueiredo, Robert D. Nowak
    An EM algorithm for wavelet-based image restoration. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2003, v:12, n:8, pp:906-916 [Journal]
  22. Mário A. T. Figueiredo, Robert D. Nowak
    Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:9, pp:1322-1331 [Journal]
  23. Robert D. Nowak
    Wavelet-based Rician noise removal for magnetic resonance imaging. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1999, v:8, n:10, pp:1408-1419 [Journal]
  24. Robert D. Nowak, Richard G. Baraniuk
    Adaptive weighted highpass filters using multiscale analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1998, v:7, n:7, pp:1068-1074 [Journal]
  25. Robert D. Nowak, Richard G. Baraniuk
    Wavelet-domain filtering for photon imaging systems. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1999, v:8, n:5, pp:666-678 [Journal]
  26. Clayton Scott, Robert D. Nowak
    Robust Contour Matching Via the Order-Preserving Assignment Problem. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:7, pp:1831-1838 [Journal]
  27. Robert D. Nowak, Eric D. Kolaczyk
    A statistical multiscale framework for Poisson inverse problems. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:5, pp:1811-1825 [Journal]
  28. Clayton Scott, Robert D. Nowak
    A Neyman-Pearson approach to statistical learning. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:11, pp:3806-3819 [Journal]
  29. Clayton Scott, Robert D. Nowak
    Minimax-optimal classification with dyadic decision trees. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2006, v:52, n:4, pp:1335-1353 [Journal]
  30. Klaus E. Timmermann, Robert D. Nowak
    Multiscale Modeling and Estimation of Poisson Processes with Application to Photon-Limited Imaging. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1999, v:45, n:3, pp:846-862 [Journal]
  31. Jarvis Haupt, Robert D. Nowak
    Signal Reconstruction From Noisy Random Projections. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2006, v:52, n:9, pp:4036-4048 [Journal]
  32. F. Y. Nan, Robert D. Nowak
    Generalized Likelihood Ratio Detection for Functional MRI Signal Using Complex Data. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 1999, v:18, n:4, pp:320-329 [Journal]
  33. Rui Castro, Robert D. Nowak
    Minimax Bounds for Active Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:5-19 [Conf]
  34. Mário A. T. Figueiredo, José M. Bioucas-Dias, João P. Oliveira, Robert D. Nowak
    On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:2633-2636 [Conf]
  35. Michael Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
    Inferring Network Structure from Co-Occurrences. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1105-1112 [Conf]
  36. Piotr Wasiewicz, Artur Malinowski, Robert D. Nowak, Jan J. Mulawka, Piotr Borsuk, Piotr Weglenski, Andrzej Plucienniczak
    DNA computing: implementation of data flow logical operations. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2001, v:17, n:4, pp:361-378 [Journal]

  37. Learning Bigrams from Unigrams. [Citation Graph (, )][DBLP]


  38. Estimating Hop Distance Between Arbitrary Host Pairs. [Citation Graph (, )][DBLP]


  39. Space-Time Sparsity Regularization for the Magnetoencephalography Inverse Problem. [Citation Graph (, )][DBLP]


  40. Unlabeled data: Now it helps, now it doesn't. [Citation Graph (, )][DBLP]


  41. Compressed channel sensing. [Citation Graph (, )][DBLP]


  42. Learning to satisfy. [Citation Graph (, )][DBLP]


  43. Sparse reconstruction by separable approximation. [Citation Graph (, )][DBLP]


  44. Genomic Network Tomography. [Citation Graph (, )][DBLP]


  45. The Geometry of Generalized Binary Search [Citation Graph (, )][DBLP]


  46. Detecting Weak but Hierarchically-Structured Patterns in Networks [Citation Graph (, )][DBLP]


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