Zobrazeno 1 - 10
of 8 538
pro vyhledávání: '"WANG, YANAN"'
Recent breakthroughs in large foundation models have enabled the possibility of transferring knowledge pre-trained on vast datasets to domains with limited data availability. Agriculture is one of the domains that lacks sufficient data. This study pr
Externí odkaz:
http://arxiv.org/abs/2411.16196
Sequential recommendation tasks, which aim to predict the next item a user will interact with, typically rely on models trained solely on historical data. However, in real-world scenarios, user behavior can fluctuate in the long interaction sequences
Externí odkaz:
http://arxiv.org/abs/2409.19142
Video question answering (VideoQA) is a task to predict the correct answer to questions posed about a given video. The system must comprehend spatial and temporal relationships among objects extracted from videos to perform causal and temporal reason
Externí odkaz:
http://arxiv.org/abs/2409.07747
Capturing complex hierarchical human activities, from atomic actions (e.g., picking up one present, moving to the sofa, unwrapping the present) to contextual events (e.g., celebrating Christmas) is crucial for achieving high-performance video questio
Externí odkaz:
http://arxiv.org/abs/2409.07748
Autor:
Lin, Zikun, Wang, Yanan, del Palacio, Santiago, Méndez, Mariano, Zhang, Shuang-Nan, Russell, Thomas D., Ji, Long, Zhang, Jin, Zhang, Liang, Altamirano, Diego, Liu, Jifeng
We present a comprehensive study based on multi-wavelength observations from the NuSTAR, NICER, Swift, Fermi, NEOWISE, and ATCA telescopes during the 2022 outburst of the black hole X-ray binary IGR J17091-3624. Our investigation concentrates on the
Externí odkaz:
http://arxiv.org/abs/2408.01110
Metric learning minimizes the gap between similar (positive) pairs of data points and increases the separation of dissimilar (negative) pairs, aiming at capturing the underlying data structure and enhancing the performance of tasks like audio-visual
Externí odkaz:
http://arxiv.org/abs/2404.13789
Autor:
Hu, Shuaicong, Wang, Yanan, Liu, Jian, Lin, Jingyu, Qin, Shengmei, Nie, Zhenning, Yao, Zhifeng, Cai, Wenjie, Yang, Cuiwei
Considering the variability of amplitude and phase patterns in electrocardiogram (ECG) signals due to cardiac activity and individual differences, existing entropy-based studies have not fully utilized these two patterns and lack integration. To addr
Externí odkaz:
http://arxiv.org/abs/2404.09729
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 7, p e18569 (2020)
BackgroundGift giving, which has been a heavily debated topic in health care for many years, is considered as a way of expressing gratitude and to be beneficial for the physician-patient relationship within a reasonable range. However, not much work
Externí odkaz:
https://doaj.org/article/ce9643679ece43229767db5dd8741fff
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 5, p e15685 (2020)
BackgroundGift giving from patients to physicians, which is prohibited in traditional clinical settings in China, has been found to occur in online health communities. However, there is debate on the validity of online gifts since physicians gain an
Externí odkaz:
https://doaj.org/article/3b7377fa70244434af4b94471fa5124b
Many real-world systems exhibit temporal, dynamic behaviors, which are captured as time series of complex agent interactions. To perform temporal reasoning, current methods primarily encode temporal dynamics through simple sequence-based models. Howe
Externí odkaz:
http://arxiv.org/abs/2401.03134