Results 51 to 60 of about 214,409 (272)

Beyond ℓ1 sparse coding in V1

PLOS Computational Biology, 2023
Growing evidence indicates that only a sparse subset from a pool of sensory neurons is active for the encoding of visual stimuli at any instant in time. Traditionally, to replicate such biological sparsity, generative models have been using theℓ1norm as a penalty due to its convexity, which makes it amenable to fast and simple algorithmic solvers.
Ilias Rentzeperis, Luca Calatroni, Laurent U. Perrinet, Dario Prandi   +3 more
openaire   +5 more sources

Glymphatic Dysfunction Reflects Post‐Concussion Symptoms: Changes Within 1 Month and After 3 Months

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mild traumatic brain injury (mTBI) may alter glymphatic function; however, its progression and variability remain obscure. This study examined glymphatic function following mTBI within 1 month and after 3 months post‐injury to determine whether variations in glymphatic function are associated with post‐traumatic symptom severity ...
Eunkyung Kim, Han Gil Seo, Roh‐Eul Yoo, Byung‐Mo Oh   +3 more
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Sparse Blossom: correcting a million errors per core second with minimum-weight matching [PDF]

Quantum
In this work, we introduce a fast implementation of the minimum-weight perfect matching (MWPM) decoder, the most widely used decoder for several important families of quantum error correcting codes, including surface codes.
Oscar Higgott, Craig Gidney
doaj   +1 more source

Von Economo Neuron Loss in Frontotemporal Dementia: A Meta‐Analysis of Neuropathological Studies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Von Economo neurons (VENs) have been reported to be vulnerable to neurodegeneration in frontotemporal dementia (FTD), particularly the behavioral variant (bvFTD), but these findings have not been systematically assessed across independent brain banks.
Daniel Talmasov, Alexander F. Santillo, Patrick R. Hof   +2 more
wiley   +1 more source

Sparse codes as Alpha Matte [PDF]

Proceedings of the British Machine Vision Conference 2014, 2014
In this paper, image matting is cast as a sparse coding problem wherein the sparse codes directly give the estimate of the alpha matte. Hence, there is no need to use the matting equation that restricts the estimate of alpha from a single pair of foreground (F) and background (B) samples.
Johnson, Jubin, Rajan, Deepu, Cholakkal, Hisham   +2 more
openaire   +2 more sources

Evaluation of a Novel Electric Health Record Sidecar Application to Display Rheumatoid Arthritis Clinical Outcomes During Clinic Visits: Results of a Stepped‐Wedge Cluster Randomized Pragmatic Trial

Arthritis Care &Research, EarlyView.
Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk, Jing Li, Cathy Nasrallah, Cherish Wilson, Alicia Hamblin, Christine Hariz, Cammie Young, Stephen Shiboski, Emma Kersey, Mary Nakamura, Judith F. Ashouri, Mehrdad Matloubian, Andrew J. Gross, Jennifer Barton, Beth Berrean, Jonathan Prugh, Jinoos Yazdany   +16 more
wiley   +1 more source

A Homotopy Iterative Hard Thresholding Algorithm With Extreme Learning Machine for Scene Recognition

IEEE Access, 2018
Vision-based scene recognition aims to find a semantic explanation of a scene image. First, how to learn a sparse feature representation by mapping each cluster of patches into few dimensions is one challenging issue.
Yuanlong Yu, Zhenzhen Sun, Wenxing Zhu, Jason Gu   +3 more
doaj   +1 more source

An Efficient Compressive Sensing Event-Detection Scheme for Internet of Things System Based on Sparse-Graph Codes

Sensors, 2023
This work studied the event-detection problem in an Internet of Things (IoT) system, where a group of sensor nodes are placed in the region of interest to capture sparse active event sources. Using compressive sensing (CS), the event-detection problem is
Jun Cai, Xin Xu, Hongpeng Zhu, Jian Cheng   +3 more
doaj   +1 more source

Scalable Online Convolutional Sparse Coding [PDF]

IEEE Transactions on Image Processing, 2018
Convolutional sparse coding (CSC) improves sparse coding by learning a shift-invariant dictionary from the data. However, existing CSC algorithms operate in the batch mode and are expensive, in terms of both space and time, on large datasets. In this paper, we alleviate these problems by using online learning.
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni   +3 more
openaire   +4 more sources