Zobrazeno 1 - 10
of 525 108
pro vyhledávání: '"P, Net"'
Surface electromyography (sEMG) is a widely employed bio-signal that captures human muscle activity via electrodes placed on the skin. Several studies have proposed methods to remove sEMG contaminants, as non-invasive measurements render sEMG suscept
Externí odkaz:
http://arxiv.org/abs/2410.03843
The elastic net penalty is frequently employed in high-dimensional statistics for parameter regression and variable selection. It is particularly beneficial compared to lasso when the number of predictors greatly surpasses the number of observations.
Externí odkaz:
http://arxiv.org/abs/2411.14875
Autor:
Mieno, Takuya, Inenaga, Shunsuke
A substring $u$ of a string $T$ is said to be a repeat if $u$ occurs at least twice in $T$. An occurrence $[i..j]$ of a repeat $u$ in $T$ is said to be a net occurrence if each of the substrings $aub = T[i-1..j+1]$, $au = T[i-1..j+1]$, and $ub = T[i.
Externí odkaz:
http://arxiv.org/abs/2411.12160
Cardiovascular diseases (CVDs) remain the leading cause of mortality and morbidity worldwide. Both diagnosis and prognosis of these diseases benefit from high-quality imaging, which cardiac magnetic resonance imaging provides. CMR imaging requires le
Externí odkaz:
http://arxiv.org/abs/2411.11175
Accurately segmenting lesions in ultrasound images is challenging due to the difficulty in distinguishing boundaries between lesions and surrounding tissues. While deep learning has improved segmentation accuracy, there is limited focus on boundary q
Externí odkaz:
http://arxiv.org/abs/2411.11116
Lane detection involves identifying lanes on the road and accurately determining their location and shape. This is a crucial technique for modern assisted and autonomous driving systems. However, several unique properties of lanes pose challenges for
Externí odkaz:
http://arxiv.org/abs/2411.10902
We present Y-MAP-Net, a Y-shaped neural network architecture designed for real-time multi-task learning on RGB images. Y-MAP-Net, simultaneously predicts depth, surface normals, human pose, semantic segmentation and generates multi-label captions, al
Externí odkaz:
http://arxiv.org/abs/2411.10334
Autor:
Liu, Qi, Liu, Yanchen, Li, Ruifeng, Cao, Chenhong, Li, Yufeng, Li, Xingyu, Wang, Peng, Feng, Runhan
The integration of intelligent and connected technologies in modern vehicles, while offering enhanced functionalities through Electronic Control Unit and interfaces like OBD-II and telematics, also exposes the vehicle's in-vehicle network (IVN) to po
Externí odkaz:
http://arxiv.org/abs/2411.10258
Most population projection models require age-specific information on net migration totals as a key demographic component of population change. Existing methods for predicting future patterns of net migration by age have proven inadequate. The main r
Externí odkaz:
http://arxiv.org/abs/2411.09878
Sparse deep neural networks (DNNs) excel in real-world applications like robotics and computer vision, by reducing computational demands that hinder usability. However, recent studies aim to boost DNN efficiency by trimming redundant neurons or filte
Externí odkaz:
http://arxiv.org/abs/2411.09199