Results 51 to 60 of about 48,305 (299)
Efficient SDP inference for fully-connected CRFs based on low-rank decomposition
Conditional Random Fields (CRFs) are one of the core technologies in computer vision, and have been applied to a wide variety of tasks. Conventional CRFs typically define edges between neighboring image pixels, resulting in a sparse graph over which ...
Peng Wang +5 more
core +1 more source
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source
Graph Neural Networks in Point Clouds: A Survey
With the advancement of 3D sensing technologies, point clouds are gradually becoming the main type of data representation in applications such as autonomous driving, robotics, and augmented reality. Nevertheless, the irregularity inherent in point clouds
Dilong Li +5 more
doaj +1 more source
Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders
We present a method to detect maritime oil spills from Side-Looking Airborne Radar (SLAR) sensors mounted on aircraft in order to enable a quick response of emergency services when an oil spill occurs.
Antonio-Javier Gallego +3 more
doaj +1 more source
Low-Order Spherical Harmonic HRTF Restoration Using a Neural Network Approach
Spherical harmonic (SH) interpolation is a commonly used method to spatially up-sample sparse head related transfer function (HRTF) datasets to denser HRTF datasets.
Benjamin Tsui +2 more
doaj +1 more source
ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown +6 more
wiley +1 more source
The random cluster model for robust geometric fitting
Random hypothesis generation is central to robust geometric model fitting in computer vision. The predominant technique is to randomly sample minimal or elemental subsets of the data, and hypothesize the geometric model from the selected subsets.
Yu, J. +7 more
core +1 more source
Low Incidence of Relapses After Vaccination in Anti‐Aquaporin‐4 Antibody‐Positive NMOSD
ABSTRACT Patients with neuromyelitis optica spectrum disorder (NMOSD) may experience increased signs and symptoms of their underlying disease when vaccinated against meningococcal disease before receiving complement component 5 inhibitor therapies. This retrospective analysis indicated an overall low relapse incidence (mean [range], 3.3% [0.7%–10.6 ...
Sean J. Pittock +4 more
wiley +1 more source
Mid-level Deep Pattern Mining∗
Mid-level visual element discovery aims to find clusters of image patches that are both representative and discrimi-native. In this work, we study this problem from the prospec-tive of pattern mining while relying on the recently popular-ized ...
Anton Van Den Hengel +7 more
core +1 more source
Sex Representation in US Stroke Clinical Trials: A Decade of Trends and Challenges
ABSTRACT Objective Stroke remains a major cause of disability and mortality in the US, with significant sex‐based disparities, and females remain underrepresented in stroke clinical trials. We aimed to examine sex representation in US‐based stroke clinical trials, identify trial characteristics associated with higher female enrollment (≥ 50%), and ...
Chaitali Dagli +5 more
wiley +1 more source

