Results 91 to 100 of about 726,041 (339)

Variational Regularization for Multi-Channel Image Denoising

Pakistan Journal of Engineering & Technology, 2019
Image restoration from noisy observations is an inverse problem. Total variation (TV) is widely used to regularize this problem. TV preserves object boundaries better than a quadratic regularizer; however, it performs poor in low-textured image regions ...
Muhammad Wasim Nawaz, Abdesselam Bouzerdoum , Son Lam Phung   +2 more
doaj  

CSF Levels of NPTX2 Are Associated With Less Brain Atrophy Over Time in Cognitively Unimpaired Individuals

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Neuronal pentraxin 2 (NPTX2) is a synaptic protein involved in synaptic plasticity and regulation of neuronal excitability. Lower baseline cerebrospinal fluid (CSF) NPTX2 levels have been shown to be associated with an earlier onset of mild cognitive impairment (MCI), a pre‐dementia syndrome, even after CSF Alzheimer's Disease (AD)
Juan P. Vazquez, Corinne Pettigrew, Yuxin Zhu, Claire Anderson, Guray Erus, Christos Davatzikos, Michael Miller, Abhay Moghekar, Sungtaek Oh, Chan‐Hyun Na, Marilyn Albert, Paul Worley, Anja Soldan   +12 more
wiley   +1 more source

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu, Oliver Robinson, Christina M. Lill, Anna Matton, Raquel Puerta, Pilar Sanz, Merce Boada, Agustín Ruiz, Lefkos Middleton, for the Alzheimer's Disease Neuroimaging Initiative   +9 more
wiley   +1 more source

Underwater Small Target Classification Using Sparse Multi-View Discriminant Analysis and the Invariant Scattering Transform

Journal of Marine Science and Engineering
Sonar automatic target recognition (ATR) systems suffer from complex acoustic scattering, background clutter, and waveguide effects that are ever-present in the ocean.
Andrew Christensen, Ananya Sen Gupta, Ivars Kirsteins   +2 more
doaj   +1 more source

Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan, John R. Mills, Paulina Vargas, Naveen K. Paramasivan, Connie E. Lesnick, Eati Basal, Surendra Dasari, James P. Fryer, Shannon R. Hinson, Joseph Laporta, Amy Espinal, Dennis Fitzgerald, Carolina Garcia, Anna E. Morenkova, Paola Pergami, Anna Shah, Andrew Knight, Reghann LaFrance Corey, Vanda A. Lennon, Anastasia Zekeridou, Sean J. Pittock, Divyanshu Dubey, Andrew McKeon   +22 more
wiley   +1 more source

An Efficient Sparse Twin Parametric Insensitive Support Vector Regression Model

Mathematics
This paper proposes a novel sparse twin parametric insensitive support vector regression (STPISVR) model, designed to enhance sparsity and improve generalization performance.
Shuanghong Qu, Yushan Guo, Renato De Leone, Min Huang, Pu Li   +4 more
doaj   +1 more source

Sparse Signal Recovery through Long Short-Term Memory Networks for Compressive Sensing-Based Speech Enhancement [PDF]

, 2023
Vasundhara Shukla, Preety D. Swami
openalex   +1 more source

Sparsity Forcing: Reinforcing Token Sparsity of MLLMs

Sparse attention mechanisms aim to reduce computational overhead with minimal accuracy loss by selectively processing salient tokens. Despite their effectiveness, most methods merely exploit a model's inherent sparsity and thus plateau at moderate budgets (about 50\% token reduction), with little headroom to push budget lower without hurting accuracy ...
Chen, Feng, He, Yefei, Lin, Lequan, Gou, Chenhui, Liu, Jing, Zhuang, Bohan, Wu, Qi   +6 more
openaire   +2 more sources

Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference

, 2023
Artificial neural networks open up unprecedented machine learning capabilities at the cost of ever growing computational requirements. Sparsifying the parameters, often achieved through weight pruning, has been identified as a powerful technique to compress the number of model parameters and reduce the computational operations of neural networks.
Mukherji, Rishav, Schöne, Mark, Nazeer, Khaleelulla Khan, Mayr, Christian, Subramoney, Anand   +4 more
openaire   +2 more sources

Dorsolateral Cervical Cord T2 Hyperintensity in KIF1C‐Related Disease (Spastic Paraplegia 58): Two Long‐Duration Cases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Pathogenic variants in KIF1C cause Spastic Paraplegia 58 (SPG58), typically presenting with cerebellar ataxia and spastic paraparesis. We report two unrelated patients with spastic paraparesis, cerebellar ataxia, and tremor. Whole‐exome sequence analysis identified novel homozygous variants in the motor domain of KIF1C (NM_006612.6): c.921G>A (
Akihiko Mitsutake, Masao Osaki, Takashi Matsukawa, Miho Osako, Chisen Takeuchi, Hiroyuki Ishiura, Jun Mitsui, Ryo Kurokawa, Harushi Mori, Yuji Takahashi, Jun Goto, Shoji Tsuji, Tatsushi Toda   +12 more
wiley   +1 more source