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Robert D. Nowak2016
NEXT: A System for Real-World
Active Learningwith K. Jamieson, L. Jain, C. Fernandez, and N. Glattard
2014
2013
2011
Active
Ranking using Pairwise
Comparisons Active
Ranking in Practice On the Limits of
Sequential Testing in High
Dimensions Sequential
Analysis in High-Dimensional Multiple Testing B. Eriksson, P. Barford, J. Sommers and R. Nowak, INFOCOM 2011 Low-Dimensional
Embedding using Adaptive Ordinal Data Empirical
Comparison of Full-Wavform Lidar Algorithms Universal Measurement Bounds for
Structured Sparse Signal Recovery Convex
approaches to model wavelet sparsity patterns On
the Success of Network Inference using a Markov Routing Model Transduction
with Matrix Completion: Three Birds with One Stone, A
Learning-Based Approach to IP Geolocation, B. Eriksson, P. Barford, J. Sommers and R. Nowak, PAM 2010. Toward the
Practical Use of Network Tomography, B. Eriksson, G. Dasarathy, P. Barford and R. Nowak, Infocom 2010. 2009 Compressive
Distilled Sensing, J.
Haupt, R. Baraniuk, R. Castro and R. Nowak, Asilomar 2009. Active
Sensing, R. Castro and R. Nowak. The
Geometry of Generalized Binary Search A
Restricted Isometry Property for Structurally-Subsampled Unitary
Matrices, W. Bajwa, A. Sayeed and R. Nowak, Allerton 2009. Distilled
Sensing: Selective Sensing for Sparse Signal Recovery, J.
Haupt, R. Castro and R. Nowak, AISTATS 2009. Compressed
Channel Sensing, W. Bajwa, J. Haupt, A. Sayeed, R. Nowak,
Proc. IEEE, submitted 2009. Estimating
Hop Distance Between Arbitrary Host Pairs, B. Eriksson, P.
Barford, R. Nowak, IEEE Infocom 2009. Multi-Manifold Semi-Supervised
Learning, A. Goldberg, X. Zhu, A. Singh, Z. Xu and R. Nowak,
AISTATS 2009.2008 Generalized
Binary Search, Allerton 2008. Learning
Sparse Doubly-Selective Channels, W. Bajwa, A. Sayeed and R.
Nowak, Allerton 2008 (extended tech report here). An
Improved Approach to Lidar Airport Obstruction Surveying
Using Full-Waveform Data,
C. Parrish and R.
Nowak, J. Surveying Engr. 2008.Unlabeled data: Now it helps, now it doesn't, A. Singh, X. Zhu and R. Nowak, NIPS 2008 (extended tech report here). Human Active
Learning, R. Castro, C. Kalish, R. Nowak, R. Qian, T. Rogers
and X. Zhu, NIPS 2008. Toeplitz
Compressed Sensing Matrices with Applications to Sparse Channel
Estimation, J. Haupt, W. Bajwa, G. Raz and R.
Nowak, submitted. Network Discovery from Passive
Measurement, B. Eriksson, P. Barford and R.
Nowak, ACM SIGCOMM '08. Learning
Bigrams from Unigrams, X. Zhu, A. Goldberg, M. Rabbat and R.
Nowak, ACL '08. Controlling
the Error in fMRI: Hypothesis Testing or Set Estimation?, Z.
Harmany, R. Willett, A. Singh and R. Nowak, ISBI '08. Finding
Needles in Noisy Haystacks, J. Haupt, R. Castro, and R.
Nowak, ICASSP '08. Sparse Reconstruction by Separable
Approximation, S. Wright, R. Nowak and M. Figueiredo,
submitted to IEEE TSP. Learning
to Satisfy, F. Thouin, M. Coates, B. Erikkson, R. Nowak, and
C.Scott, ICASSP '08. Compressed
Channel Sensing, W. Bajwa, J. Haupt, G. Raz and R.
Nowak, CISS '08. Space-Time
Sparse Reconstruction for Magneto-/Electroencephalography,
A. Bolstad, B. Van Veen
and R. Nowak, submitted to NeuroImage.2007 Compressed
Sensing for Networked Data, J. Haupt, W. Bajwa, M. Rabbat,
and R. Nowak, to appear in the IEEE Signal Processing Magazine. Learning Network Structure from
Passive Measurements, B. Eriksson, P. Barford, R.
Nowak and M. Crovella, IMC '07.Characterizing decoding robustness under parametric channel uncertainty, J. Wierer, W. Bajwa, N. Boston and R. Nowak, Allerton '07. Adaptive
Hausdorff Estimation of Density Level Sets, A. Singh, C.
Scott and R. Nowak, submitted to the Annals of Statistics.. Toeplitz-Structured
Compressed Sensing Matrices, W. Bajwa, J. Haupt, G. Raz, S.
Wright and R. Nowak, IEEE SSP 2007 Workshop. Joint
Source-Channel Communication for Distributed Estimation in Sensor
Networks, W. Bajwa, J. Haupt, A. Sayeed and R. Nowak, to appear in IEEE Trans. Info. Th. Minimax
Bounds for Active Learning, R. Castro and R.
Nowak, submitted to IEEE Trans. Info. Th., shorter version appeared at COLT 2007 (COLT paper, Errata) Blind
Calibration of Sensor Networks, L. Balzano and R.
Nowak, to appear at IPSN 2007.(extended version, UCLA Technical Report ) Gradient
Projection for Sparse Reconstruction: Applications to Compressed
Sensing and Other Inverse Problems, M. Figueiredo, R. Nowak and S. Wright. CODE: MATLAB
code is
available here Genomic
Network Tomography, M. Rabbat, M. Figueiredo and R. Nowak,
to appear at ICASSP 2007. Majorization-Minimization
Algorithms for Wavelet-Based Image Restoration, M.
Figueiredo, J. Bioucas-Dias, and R. Nowak.2006 Upper
and Lower Bounds for Active Learning, R. Castro, and R.
Nowak, in Proceedings of the 44th Annual Allerton Conference on Communication, Control and Computing, 2006. Network
Inference from Co-Occurrences, M. Rabbat, M.
Figueiredo, and R.
Nowak, submitted to the IEEE Transactions on Information Theory(extended version, UW-Madison Technical Report ECE-06-2) de Novo
signaling pathway reconstruction from multiple data sources, D.
Zhu, M. Rabbat, A. O. Hero, R. Nowak, M. Figuieredo, in
New research on signal transduction, Ed. F. Columbus , Nova
Publishing, 2006. Multiple
Source Internet Tomography, M. Rabbat, M. Coates, and R.
Nowak, IEEE Journal on Selected Areas in
Communications.Compressed Sensing vs. Active Learning, R. Castro, J. Jaupt and R. Nowak, ICASSP 2006, Toulouse, France. Minimax
Optimal Level Set Estimation, R. Willett and R.
Nowak, submitted to IEEE Transactions on Image Processing.
Learning
Minimum Volume Sets, C. Scott and R.
Nowak, to appear in JMLR (also see UW-Madison Technical Report
ECE-05-02). Faster Rates
in Regression via Active Learning, R. Castro, R. Willett and R.
Nowak, University of Wisconsin Technical Report
ECE-05-03. Signal
Reconstruction from Noisy Random Projections, J. Haupt and R.
Nowak, to appear in IEEE Trans. Info. Theory. Robust Contour Matching via the Order Preserving Assignment Problem, C. Scott and R. Nowak, to appear in IEEE Trans. on Image Processing.. Matched Source-Channel Communication for Field Estimation in Wireless Sensor Networks, W. Bajwa, A. Sayeed and R. Nowak, IPSN 2005, Los Angeles, CA Multiscale Poisson Intensity and Density Estimation, R. Willett and R. Nowak, submitted to IEEE Trans. Info. Theory.
A Neyman-Pearson Approach to Statistical Learning, C. Scott and R. Nowak. Quantized Incremental Algorithms for Distributed Optimization, M. Rabbat and R. Nowak, to appear in JSAC Distributed Collaborative Sensor Networks. Network Radar: Tomography from Round Trip Time Measurements, Y. Tsang, M. Yildiz, P. Barford and R. Nowak, ACM IMC, October, 2004 . Backcasting: Adaptive Sampling for Sensor Networks, R. Willett, A. Martin, and R. Nowak, IPSN 2004, Berkeley, CA. Likelihood Based Hierarchical Clustering, R. Castro and R. Nowak, IEEE Transactions on Signal Processing, 2004. Distributed Optimization in Sensor Networks, M. Rabbat and R. Nowak, IPSN 2004, Berkeley, CA. Multiple Source, Multiple Destination Network Tomography, M. Rabbat, M. Coates, and R. Nowak, IEEE Infocom, 2004. Estimating Inhomogeneous Fields Using Wireless Sensor Networks, R. Nowak, U. Mitra, and R. Willett, IEEE Journal on Selected Areas in Communications, 2004. TEMPLAR: A Wavelet-Based Framework for Pattern Learning and Analysis, C. Scott and R. Nowak, IEEE Transactions on Signal Processing, 2004.
Near-Minimax Optimal Classification with Dyadic Classification Trees, C. Scott and R. Nowak, Neural Information Processing Systems (NIPS), 2003. Multiscale Density Estimation, R. Willett and R. Nowak, Rice University Technical Report TREE 0303. Multiscale Generalized Linear Models for Nonparametric Function Estimation, E. Kolaczyk and R. Nowak, submitted to Biometrika, 2003. Network Delay Tomography, Y. Tsang, M. Coates, and R. Nowak, to appear in IEEE Transactions on Signal Processing, Special Issue on Signal Processing in Networking, 2003. Distributed EM Algorithms for Density Estimation and Clustering in Sensor Networks, R. Nowak, to appear in IEEE Transactions on Signal Processing, Special Issue on Signal Processing in Networking, 2003. An EM Algorithm
for Wavelet-Based Image Restoration, M. Figueiredo and R.
Nowak, IEEE Transactions on Image
Processing, vol.12,
no.8, pp. 906-916, August 2003.
Multiscale Likelihood Analysis and Complexity Penalized Estimation, E. D. Kolaczyk and R. D. Nowak, to appear in the Annals of Statistics, 2003. Dyadic Classification Trees via Structural Risk Minimization, C. Scott and R. Nowak, Neural Information Processing Systems 2002. Multiresolution
nonparametric intensity and
density estimation, Willett, R.M.; Nowak, R.D., 2002 IEEE
International Conference on Acoustics, Speech, and Signal Processing,
Volume: 2 , 2002 Page(s): 1493 -1496
Maximum Likelihood Network Topology Identification from Edge-Based Unicast Measurements, M. Coates, R. Castro and R. Nowak, to appear in ACM Sigmetric 2002, Marina Del Rey, California, June 2002. Internet Tomography, M. Coates, A. Hero, R. Nowak and B. Yu, in IEEE Signal Processing Magazine, May 2002.
Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior , Figueiredo, M.A.T.; Nowak, R.D. IEEE Transactions on Image Processing, Volume: 10 Issue: 9 , Sept. 2001 Page(s): 1322 -1331 Unicast Network Tomography Using the EM Algorithm , R. Nowak and M. Coates, submitted to IEEE Transactions on Information Theory, December 2001. Nonparametric Estimation of Internal Delay Densities from Unicast End-to-end Measurement , M. Coates, R. Nowak and Y. Tsang, Technical Report TREE0106, Department of Electrical and Computer Engineering, Rice University, Oct, 2001. Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon Limited Medical Imaging, R. Willett and R. Nowak, submitted to the IEEE Transactions on Medical Imaging, September 2001. Sequential Monte Carlo Inference of Internal Delays in Nonstationary Communication Networks, M. Coates and R. Nowak, IEEE Transactions on Signal Processing, Volume: 50 Issue: 2 , Feb. 2002 Page(s): 366 -376 Template learning from atomic representations: A wavelet-based approach to pattern analysis, C. Scott and R. D. Nowak, Second International Workshop on Statistical and Computational Theories of Vision -- Modeling, Learning, Computing, and Sampling, Vancouver, Canada, July 13, 2001.
A Multiresolution Theory for Likelihoods: Theory and Methods, E. D. Kolaczyk and R. D. Nowak, Rice University Technical Report TREE0006, November 2000. A Statistical Multiscale Framework for Poisson Inverse Problems, R. D. Nowak and E. D. Kolaczyk, IEEE Information Theory, August 2000. Network Inference from Passive Unicast Measurements, Mark Coates and Robert Nowak, Rice University, ECE Department Technical Report TR-0002.
Multiscale Hidden Markov Models for Bayesian Image Analysis, R. D. Nowak, in Bayesian Inference in Wavelet Based Models. Wavelet-based Rician noise removal for magnetic resonance imaging , Nowak, R.D., IEEE Transactions on Image Processing, Volume: 8 Issue: 10 , Oct. 1999 Page(s): 1408 -1419 Wavelet-domain filtering for photon imaging systems , Nowak, R.D.; Baraniuk, R.G., IEEE Transactions on Image Processing, Volume: 8 Issue: 5 , May 1999 Page(s): 666 -678 Wavelet-based transformations for nonlinear signal processing , Nowak, R.D.; Baraniuk, R.G., IEEE Transactions on Signal Processing, Volume: 47 Issue: 7 , July 1999 Page(s): 1852 -1865 Generalized likelihood ratio detection for fMRI using complex data , Nan, F.Y.; Nowak, R.D., IEEE Transactions on Medical Imaging, Volume: 18 Issue: 4 , April 1999 Page(s): 320 -329 Multiscale modeling and estimation of Poisson processes with application to photon-limited imaging, Timmermann, K.E.; Nowak, R.D., IEEE Transactions on Information Theory, Volume: 45 Issue: 3 , April 1999 Page(s): 846 -862
Weighted Highpass Filters Using Multiscale Analysis, R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Image Processing. Wavelet-Based Statistical Signal Processing Using Hidden Markov Models, M. S. Crouse, R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Signal Processing. Wavelet-Based Transformations for Nonlinear Signal Processing, R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Signal Processing.
Optimal Signal Estimation Using Cross-Validation, R. D. Nowak, IEEE Signal Processing Letters, vol. 4, no. 1, January 1997. |
rdnowak@wisc.edu |