Results 51 to 60 of about 953,953 (275)

Low Complexity Regularization of Linear Inverse Problems [PDF]

, 2014
Inverse problems and regularization theory is a central theme in contemporary signal processing, where the goal is to reconstruct an unknown signal from partial indirect, and possibly noisy, measurements of it.
A Girard, A. Barron, A. Beck, A. Beck, A. Chambolle, A. Chambolle, A. Daniilidis, A. Montanari, A.N. Tikhonov, A.N. Tikhonov, A.S. Bandeira, A.S. Lewis, A.S. Lewis, A.S. Lewis, A.S. Lewis, B. Efron, B. Efron, B. Recht, B.A. Turlach, B.C. Vũ, B.D. Rao, B.F. Svaiter, B.K. Natarajan, B.S. Mordukhovich, C. Chaux, C. Deledalle, C. Dossal, C. Dossal, C. Lemaréchal, C. Vonesch, C.-A. Deledalle, C.-A. Deledalle, C.L. Mallows, C.M. Stein, D. Gabay, D. Gabay, D. Gross, D. Needell, D. Ville Van De, D. Ville Van De, D.A. Lorenz, D.A. Spielman, D.L. Donoho, D.L. Donoho, D.L. Donoho, D.L. Donoho, E. Grave, E. Hale, E. Harchaoui, E. J. Candès, E. Richard, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, F. Bach, F. Bach, F. Luisier, F. Santosa, G. Chen, G. Davis, G. Obozinski, G. Peyré, G. Steidl, G.B. Passty, G.H. Golub, H. Akaike, H. Jégou, H. Jégou, H. Raguet, H. Zou, H.H. Bauschke, H.H. Bauschke, H.L. Taylor, H.M. Hudson, I. Daubechies, J. Allen, J. Bolte, J. Chen, J. Douglas, J. Eckstein, J. Eckstein, J. Eckstein, J. Mairal, J. Tropp, J. Ye, J.-B. Hiriart-Urruty, J.-C. Pesquet, J.-F. Aujol, J.-J. Fuchs, J.-J. Fuchs, J.-L. Starck, J.-L. Starck, J.A. Tropp, J.C. Dunn, J.E. Vogt, J.F. Claerbout, J.M. Lee, K. Bredies, K. Bredies, K. Bredies, K. Kato, K. Knight, K.-C. Li, L. Birgé, L. Birgé, L. Borup, L. Condat, L.I. Rudin, L.M. Briceño Arias, M Coste, M. Elad, M. Elad, M. Fazel, M. Fortin, M. Frank, M. Golbabaee, M. Grasmair, M. Jaggi, M. Meyer, M. Rudelson, M. Yuan, M.J. Wainwright, M.R. Osborne, M.V. Solodov, N. Parikh, O. Scherzer, P. Hall, P. Hall, P. Tseng, P. Zhao, P. Zhao, P.L. Combettes, P.L. Combettes, P.L. Combettes, P.L. Lions, R. Ciak, R. Giryes, R. Glowinski, R. Gribonval, R. Gribonval, R. Gribonval, R. Gribonval, R. Jenatton, R. Jenatton, R. Refregier, R. Tibshirani, R. Tibshirani, R.J. Tibshirani, R.J. Tibshirani, R.L. Dykstra, R.T. Rockafellar, S. Nam, S. Negahban, S. Ramani, S. Ramani, S. Shalev-Shwartz, S. Vaiter, S. Vaiter, S.F. Cotter, S.G. Lingala, S.G. Mallat, S.G. Mallat, S.G. Mallat, S.J. Wright, S.N. Negahban, S.P. Boyd, S.S. Chen, T. Blu, T. Blumensath, T. Strohmer, T.T. Cai, T.T. Cai, T.T. Cai, V. Chandrasekaran, V. Duval, V. Solo, W.L. Hare, X. Shen, Y. Castro de, Y. Censor, Y. Chen, Y. Lyubarskii, Y. Nesterov, Y. Nesterov, Y.C. Eldar, Y.C. Pati   +197 more
core   +4 more sources

Dynamical stability and chaos in artificial neural network trajectories along training

Frontiers in Complex Systems
The process of training an artificial neural network involves iteratively adapting its parameters so as to minimize the error of the network’s prediction, when confronted with a learning task.
Kaloyan Danovski, Miguel C. Soriano, Lucas Lacasa   +2 more
doaj   +1 more source

A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks

Complexity, 2021
Security issue against different attacks is the core topic of cyberphysical systems (CPSs). In this paper, optimal control theory, reinforcement learning (RL), and neural networks (NNs) are integrated to provide a brief overview of optimal robust control
Bo Hu, Hao Wang, Yan Zhao, Hang Zhou, Mingkun Jiang, Mofan Wei   +5 more
doaj   +1 more source

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang, Huiying Wang, Zhizheng Zhuo, Ai Guo, Ke Lv, Decai Tian, Chao Chai, Yunyun Duan, Shuang Xia   +8 more
wiley   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

A Survey on Delay-Aware Resource Control for Wireless Systems --- Large Deviation Theory, Stochastic Lyapunov Drift and Distributed Stochastic Learning [PDF]

, 2011
In this tutorial paper, a comprehensive survey is given on several major systematic approaches in dealing with delay-aware control problems, namely the equivalent rate constraint approach, the Lyapunov stability drift approach and the approximate Markov ...
Cui, Ying, Huang, Huang, Lau, Vincent K. N., Wang, Rui, Zhang, Shunqing   +4 more
core   +2 more sources

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Polynomial Iterative Learning Control (ILC) Tracking Control Design for Uncertain Repetitive Continuous-Time Linear Systems Applied to an Active Suspension of a Car Seat

Mathematics
This paper addresses the issue of polynomial iterative learning tracking control (Poly-ILC) for continuous-time linear systems (LTI) operating repetitively.
Selma Ben Attia, Sultan Alzahrani, Saad Alhuwaimel, Salah Salhi, Houssem Eddine Ouerfelli   +4 more
doaj   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source