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Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning [PDF]
Proceedings of the IEEE, 2019 The field of medical image reconstruction has seen roughly four types of methods. The first type tended to be analytical methods, such as filtered backprojection (FBP) for X-ray computed tomography (CT) and the inverse Fourier transform for magnetic ...
S. Ravishankar, J. C. Ye, J. Fessler
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Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference [PDF]
Computer Vision and Pattern Recognition, 2019 Modern convolutional neural networks apply the same operations on every pixel in an image. However, not all image regions are equally important. To address this inefficiency, we propose a method to dynamically apply convolutions conditioned on the input ...
Thomas Verelst, T. Tuytelaars
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral unmixing aims to separate pure materials and their corresponding proportions that constitute the mixed pixels of hyperspectral imagery (HSI). Recently, the matrix-vector nonnegative tensor factorization (MV-NTF) has attracted wide attention
Ping Yang +3 more
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Machine Learning Regularization Methods in High-Dimensional Monetary and Financial VARs
Mathematics, 2022 Vector autoregressions (VARs) and their multiple variants are standard models in economic and financial research due to their power for forecasting, data analysis and inference. These properties are a consequence of their capabilities to include multiple
Javier Sánchez García +1 more
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Air–Rail Connectivity Index: A Comprehensive Study of Multimodal Journeys
Engineering ProceedingsTo enhance the accessibility and efficiency of airports, the concept of airport connectivity is extended to High-Speed Rail (HSR), as major hub airports now have direct access to an HSR station.
Clara Buire +6 more
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A Novel Dictionary-Based Image Reconstruction for Photoacoustic Computed Tomography
Applied Sciences, 2018 One of the major concerns in photoacoustic computed tomography (PACT) is obtaining a high-quality image using the minimum number of ultrasound transducers/view angles. This issue is of importance when a cost-effective PACT system is needed.
Parsa Omidi +6 more
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Non-Linear Regularized Attenuation Compensation for Microwave Breast Imaging
IEEE Open Journal of Signal Processing, 2023 We develop non-linear optimization algorithms for attenuation compensation of rapidly time-varying microwave signals in the context of breast imaging.
Nasser Kazemi, Elise Fear
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Sparsity and Infinite Divisibility [PDF]
IEEE Transactions on Information Theory, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Amini, M.Unser
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IEEE AccessOn-device intelligence and AI-powered edge devices require compressed deep learning algorithm and energy efficient hardware. Compute-in-memory (CIM) architecture is a more suitable candidate than traditional Complementary Metal-Oxide-Semiconductor (CMOS)
Foroozan Karimzadeh, Arijit Raychowdhury
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Robust feature selection method via joint low-rank reconstruction and projection reconstruction
Tongxin xuebao, 2023 Aiming at the problem that current feature selection methods were still affected by noise and cannot effectively unify clustering and reconstruction effects, a robust feature selection method was proposed.A robust reconstruction error term was built by ...
Shuangyan YI +5 more
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