Search Results - "Nowak, R.D."

Sparse Reconstruction by Separable Approximation by Wright, S.J., Nowak, R.D., Figueiredo, M.A.T.

“…Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis…”
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Majorization-Minimization Algorithms for Wavelet-Based Image Restoration by Figueiredo, M.A.T., Bioucas-Dias, J.M., Nowak, R.D.

“…Standard formulations of image/signal deconvolution under wavelet-based priors/regularizers lead to very high-dimensional optimization problems involving the…”
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An EM algorithm for wavelet-based image restoration by Figueiredo, M.A.T., Nowak, R.D.

“…This paper introduces an expectation-maximization (EM) algorithm for image restoration (deconvolution) based on a penalized likelihood formulated in the…”
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Distributed EM algorithms for density estimation and clustering in sensor networks by Nowak, R.D.

“…The paper considers the problem of density estimation and clustering in distributed sensor networks. It is assumed that each node in the network senses an…”
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Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems by Figueiredo, M.A.T., Nowak, R.D., Wright, S.J.

“…Many problems in signal processing and statistical inference involve finding sparse solutions to under-determined, or ill-conditioned, linear systems of…”
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Quantized incremental algorithms for distributed optimization by Rabbat, M.G., Nowak, R.D.

“…Wireless sensor networks are capable of collecting an enormous amount of data. Often, the ultimate objective is to estimate a parameter or function from these…”
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Platelets: a multiscale approach for recovering edges and surfaces in photon-limited medical imaging by Willett, R.M., Nowak, R.D.

“…The nonparametric multiscale platelet algorithms presented in this paper, unlike traditional wavelet-based methods, are both well suited to photon-limited…”
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Wavelet-based Rician noise removal for magnetic resonance imaging by Nowak, R.D.

“…It is well known that magnetic resonance magnitude image data obey a Rician distribution. Unlike additive Gaussian noise, Rician "noise" is signal-dependent,…”
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Minimax Optimal Level-Set Estimation by Willett, R.M., Nowak, R.D.

“…This paper describes a new methodology and associated theoretical analysis for rapid and accurate extraction of level sets of a multivariate function from…”
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Wavelet-based statistical signal processing using hidden Markov models by Crouse, M.S., Nowak, R.D., Baraniuk, R.G.

“…Wavelet-based statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients as independent or jointly…”
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Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior by Figueiredo, M.A.T., Nowak, R.D.

“…The sparseness and decorrelation properties of the discrete wavelet transform have been exploited to develop powerful denoising methods. However, most of these…”
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Network delay tomography by Yolanda Tsang, Coates, M., Nowak, R.D.

“…The substantial overhead of performing internal network monitoring motivates techniques for inferring spatially localized information about performance using…”
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A bound optimization approach to wavelet-based image deconvolution by Figueiredo, M.A.T., Nowak, R.D.

“…We address the problem of image deconvolution under I/sub p/ norm (and other) penalties expressed in the wavelet domain. We propose an algorithm based on the…”
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Multiple-Source Internet Tomography by Rabbat, M.G., Coates, M.J., Nowak, R.D.

“…Information about the topology and link-level characteristics of a network is critical for many applications including network diagnostics and management…”
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Likelihood based hierarchical clustering by Castro, R.M., Coates, M.J., Nowak, R.D.

“…This paper develops a new method for hierarchical clustering. Unlike other existing clustering schemes, our method is based on a generative, tree-structured…”
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TEMPLAR: a wavelet-based framework for pattern learning and analysis by Scott, C., Nowak, R.D.

“…Recovering a pattern or image from a collection of noisy and misaligned observations is a challenging problem that arises in image processing and pattern…”
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Sequential Monte Carlo inference of internal delays in nonstationary data networks by Coates, M.J., Nowak, R.D.

“…On-line, spatially localized information about internal network performance can greatly assist dynamic routing algorithms and traffic transmission protocols…”
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Network tomography for internal delay estimation by Coates, M.J., Nowak, R.D.

“…On-line, spatially localized information about internal network performance can greatly assist dynamic routing algorithms and traffic transmission protocols…”
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Minimax Bounds for Active Learning by Castro, R.M., Nowak, R.D.

“…This paper analyzes the potential advantages and theoretical challenges of "active learning" algorithms. Active learning involves sequential sampling…”
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Adaptive weighted highpass filters using multiscale analysis by Nowak, R.D., Baraniuk, R.G.

“…We propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study…”
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