Results 11 to 20 of about 13,919 (263)
Undersampling and the inference of coevolution in proteins [PDF]
Cell Systems, 2021 Abstract Protein structure, function, and evolution depend on local and collective epistatic interactions between amino acids. A powerful approach to defining these interactions is to construct models of couplings between amino acids that reproduce the empirical statistics (frequencies and correlations) observed in sequences comprising ...
Kleeorin, Yaakov +3 more
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Neural Network-Based Undersampling Techniques [PDF]
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022 8 pages in IEEE ...
Md. Adnan Arefeen +2 more
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Universal Undersampled MRI Reconstruction [PDF]
, 2021 Deep neural networks have been extensively studied for undersampled MRI reconstruction. While achieving state-of-the-art performance, they are trained and deployed specifically for one anatomy with limited generalization ability to another anatomy.
Xinwen Liu 0003 +3 more
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Presumably Correct Undersampling
, 2023 This paper presents a data pre-processing algorithm to tackle class imbalance in classification problems by undersampling the majority class. It relies on a formalism termed Presumably Correct Decision Sets aimed at isolating easy (presumably correct) and difficult (presumably incorrect) instances in a classification problem.
Gonzalo Nápoles, Isel Grau
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Precise Undersampling Theorems [PDF]
Proceedings of the IEEE, 2010 Undersampling theorems state that we may gather far fewer samples than the usual sampling theorem while exactly reconstructing the object of interest-provided the object in question obeys a sparsity condition, the samples measure appropriate linear combinations of signal values, and we reconstruct with a particular nonlinear procedure.
Donoho, David L., Tanner, Jared
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Undersampled Phase Retrieval With Outliers [PDF]
IEEE Transactions on Computational Imaging, 2015 11 pages, 9 ...
Daniel S. Weller +5 more
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Sparsity/undersampling tradeoffs in anisotropic undersampling, with applications in MR imaging/spectroscopy [PDF]
Information and Inference: A Journal of the IMA, 2018 Abstract We study anisotropic undersampling schemes like those used in multi-dimensional magnetic resonance (MR) spectroscopy and imaging, which sample exhaustively in certain time dimensions and randomly in others. Our analysis shows that anisotropic undersampling schemes are equivalent to certain block-diagonal measurement systems.
Hatef Monajemi, David L. Donoho
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Undersampled digital holography
Optics Express, 2009 Acceptable signal recovery of the band-pass signals typically used in the off-axis digital holography systems is possible in the undersampling conditions. A typical system is considered in which the angle between two beams represents a variable parameter.
Demoli, Nazif +4 more
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Frontiers in Oncology, 2023 Imbalanced data, a common challenge encountered in statistical analyses of clinical trial datasets and disease modeling, refers to the scenario where one class significantly outnumbers the other in a binary classification problem. This imbalance can lead
Mohammad Meysami +6 more
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SNR Degradation in Undersampled Phase Measurement Systems
Sensors, 2016 A wide range of measuring applications rely on phase estimation on sinusoidal signals. These systems, where the estimation is mainly implemented in the digital domain, can generally benefit from the use of undersampling to reduce the digitizer and ...
David Salido-Monzú +3 more
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