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Exploitation of sparse and low-rank structures for tracking and channel estimation
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Novel optimization tools for structured signals recovery: channels estimation and compressible signal recovery
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Autoregression and structured low-rank modeling of sinograms
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On the theory and applications of structured bilinear inverse problems to sparse blind deconvolution, active target localization, and delay-Doppler estimation
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Matrix factorization for noise-robust representation of speech data
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Robust estimation of high dimensional parameters
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Scalable multivariate time series analysis
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Sparseness in functional data analysis
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Multi-constrained inversion algorithms for microwave imaging
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Tensor learning for large-scale spatiotemporal analysis
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The role of altered folate one-carbon metabolism (FOCM) in the development of colorectal cancer
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Data-driven aggregated fractal dynamic load modeling for early warning of voltage collapse
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Quantum feedback control for measurement and error correction
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The calcium-sensing receptor in the specification of normal and malignant hematopoietic cell localization in the bone marrow microenvironment
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Improving the sensitivity and spatial coverage of cardiac arterial spin labeling for assessment of coronary artery disease
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Scalable reputation systems for peer-to-peer networks
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Open quantum systems and error correction
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Landscape analysis and algorithms for large scale non-convex optimization
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Accurate image registration through 3D reconstruction
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Fast computational techniques for pseudoinverse and Wiener image restoration
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Laboratory studies of carbon dioxide sequestration in coal beds
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Relaxation time measurements in condensed matter by polarization spectroscopy
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Design And Synthesis Of Novel Second-Order Nonlinear Optical Materials
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