Results 21 to 30 of about 215,679 (256)
A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction
Frontiers in Neuroscience, 2020 Measures of brain activity through functional magnetic resonance imaging (fMRI) or electroencephalography (EEG), two complementary modalities, are ground solutions in the context of neurofeedback (NF) mechanisms for brain rehabilitation protocols.
Claire Cury +4 more
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Tensor Rank Regularization with Bias Compensation for Millimeter Wave Channel Estimation
Signals, 2022 This paper presents a novel method of tensor rank regularization with bias compensation for channel estimation in a hybrid millimeter wave MIMO-OFDM system.
Fei He, Andrew Harms, Lamar Yaoqing Yang
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Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization
Frontiers in Applied Mathematics and Statistics, 2021 Convolutional neural networks (CNN) have been hugely successful recently with superior accuracy and performance in various imaging applications, such as classification, object detection, and segmentation.
Kevin Bui +4 more
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Manifold Discovery for High-Dimensional Data Using Deep Method
IEEE Access, 2022 It is a challenge for manifold discovery from the data in the high-dimensional space, since the data in the high-dimensional space is sparsely distributed, which hardly provides rich information for manifold discovery so as to be possible to obtain ...
Jingjin Chen, Shuping Chen, Xuan Ding
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Using Regularization to Infer Cell Line Specificity in Logical Network Models of Signaling Pathways
Frontiers in Physiology, 2018 Understanding the functional properties of cells of different origins is a long-standing challenge of personalized medicine. Especially in cancer, the high heterogeneity observed in patients slows down the development of effective cures.
Sébastien De Landtsheer +2 more
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A New Generalized Projection and Its Application to Acceleration of Audio Declipping
Axioms, 2019 In convex optimization, it is often inevitable to work with projectors onto convex sets composed with a linear operator. Such a need arises from both the theory and applications, with signal processing being a prominent and broad field where convex ...
Pavel Rajmic +3 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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IEEE Access, 2020 Dynamic magnetic resonance imaging (dynamic MRI) is used to visualize living tissues and their changes over time. In this paper, we propose a new tensor-based dynamic MRI approach for reconstruction from highly undersampled (k, t)-space data, which ...
Shuli Ma, Huiqian Du, Wenbo Mei
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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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