Results 131 to 140 of about 210,501 (299)

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

open access: yesAnnals 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   +8 more
wiley   +1 more source

Speeded up Low Rank Online Metric Learning for Object Tracking

open access: yes, 2015
Visual object tracking can be considered as an online procedure to adaptively measure the foreground object similarity itself. However, many previous works usually adopt a fixed metric or offline metric learning to evaluate this dynamic process; even ...
Liu J(刘霁)   +4 more
core  

A Depolarizing Leak in Sodium Bicarbonate Cotransporter NBCe1 Causes Brain Edema

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives SLC4A4 encodes electrogenic sodium bicarbonate cotransporter NBCe1, prominently expressed in kidney and brain. Recessive loss‐of‐function variants in SLC4A4 cause proximal renal tubular acidosis, no brain edema. In the brain, NBCe1 is expressed by astrocytes, where it regulates pH and mediates astrocyte volume changes.
Quinty Bisseling   +16 more
wiley   +1 more source

Metric Learning for Temporal Sequence Alignment [PDF]

open access: yes, 2014
International audienceIn this paper, we propose to learn a Mahalanobis distance to perform alignment of multivariate time series. The learning examples for this task are time series for which the true alignment is known.
Rémi Lajugie   +7 more
core  

Fantope Regularization in Metric Learning

open access: yes, 2014
International audienceThis paper introduces a regularization method to ex-plicitly control the rank of a learned symmetric positive semidefinite distance matrix in distance metric learning. To this end, we propose to incorporate in the objective function
Cord, Matthieu   +5 more
core   +2 more sources

CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao   +7 more
wiley   +1 more source

A Quasi-Metric for Machine Learning

open access: yes, 2002
Junta de Andalucía TIC ...
Miguel Angel Gutiérrez-Naranjo   +2 more
openaire   +3 more sources

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

open access: yesAnnals 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   +8 more
wiley   +1 more source

Large-Margin Metric Learning for Constrained Partitioning Problems

open access: yes, 2014
International audienceWe consider unsupervised partitioning problems based explicitly or implicitly on the minimization of Euclidean distortions, such as clustering, image or video segmentation, and other change-point detection problems.
Bach, Francis   +2 more
core  

Improved Metric-Learning-Based Recognition Method for Rail Surface State With Small-Sample Data

open access: yesIEEE Access
The accurate identification of rail surface states, especially the third media state, is crucial for enhancing traction and braking capabilities of heavy haul trains, ensuring their safe operation, and maintaining heavy haul railways.
Huijun Yu   +4 more
doaj   +1 more source

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