Results 61 to 70 of about 1,145,262 (318)
Compressed sensing (CS)-based sparse channel estimation requires the sensing matrix with the minimum mutual coherence (MC), and its corresponding pilot pattern obtain optimal estimation performance.
Yang Nie, Xinle Yu, Zhanxin Yang
doaj +1 more source
Reangle-A-Video: 4D Video Generation as Video-to-Video Translation
We introduce Reangle-A-Video, a unified framework for generating synchronized multi-view videos from a single input video. Unlike mainstream approaches that train multi-view video diffusion models on large-scale 4D datasets, our method reframes the multi-view video generation task as video-to-videos translation, leveraging publicly available image and ...
Jeong, Hyeonho +2 more
openaire +2 more sources
Diagnostic Utility of the ATG9A Ratio in AP‐4–Associated Hereditary Spastic Paraplegia
ABSTRACT Adaptor protein complex 4–associated hereditary spastic paraplegia (AP‐4‐HSP), a childhood‐onset neurogenetic disorder and frequent mimic of cerebral palsy, is caused by biallelic variants in the adaptor protein complex 4 (AP‐4) subunit genes (AP4B1 [for SPG47], AP4M1 [for SPG50], AP4E1 [for SPG51], and AP4S1 [for SPG52]).
Habibah A. P. Agianda +12 more
wiley +1 more source
Although correlation filter (CF)-based visual tracking algorithms have achieved appealing results, there are still some problems to be solved. When the target object goes through long-term occlusions or scale variation, the correlation model used in ...
Yuankun Li +4 more
doaj +1 more source
Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source
Advanced fine-tuning procedures to enhance DNN robustness in visual coding for machines
Video Coding for Machines (VCM) is gaining momentum in applications like autonomous driving, industry manufacturing, and surveillance, where the robustness of machine learning algorithms against coding artifacts is one of the key success factors.
Alban Marie +5 more
doaj +1 more source
Unsupervised Class Generation to Expand Semantic Segmentation Datasets
Semantic segmentation is a computer vision task where classification is performed at the pixel level. Due to this, the process of labeling images for semantic segmentation is time-consuming and expensive.
Javier Montalvo +3 more
doaj +1 more source
Automatic and Robust Infrared-Visible Image Sequence Registration via Spatio-Temporal Association
To solve the problems of the large differences in gray value and inaccurate positioning of feature information during infrared-visible image registration, we propose an automatic and robust algorithm for registering planar infrared-visible image ...
Bingqing Zhao +4 more
doaj +1 more source
Neuroinflammation in GAD65 Antibody‐Associated Epilepsy Measured Using [18F]DPA‐714 PET/MRI
ABSTRACT The timing for initiating immunotherapy in patients with glutamic acid decarboxylase 65 (GAD65) antibody‐associated epilepsy is a challenge. We used the translocator protein radioligand [18F]DPA‐714 and PET to evaluate brain microglial activation.
Jingjing Chen +10 more
wiley +1 more source
Indoor Localization Algorithms for an Ambulatory Human Operated 3D Mobile Mapping System
Indoor localization and mapping is an important problem with many applications such as emergency response, architectural modeling, and historical preservation. In this paper, we develop an automatic, off-line pipeline for metrically accurate, GPS-denied,
Nicholas Corso, Avideh Zakhor
doaj +1 more source

