Zobrazeno 1 - 10
of 999
pro vyhledávání: '"WANG, Yuheng"'
Acoustic spatial capture-recapture (ASCR) surveys with an array of synchronized acoustic detectors can be an effective way of estimating animal density or call density. However, constructing the capture histories required for ASCR analysis is challen
Externí odkaz:
http://arxiv.org/abs/2410.04390
The 7-point checklist (7PCL) is widely used in dermoscopy to identify malignant melanoma lesions needing urgent medical attention. It assigns point values to seven attributes: major attributes are worth two points each, and minor ones are worth one p
Externí odkaz:
http://arxiv.org/abs/2407.16822
Autor:
Guo, Zhongliang, Dong, Junhao, Qian, Yifei, Wang, Kaixuan, Li, Weiye, Guo, Ziheng, Wang, Yuheng, Li, Yanli, Arandjelović, Ognjen, Fang, Lei
Neural style transfer (NST) generates new images by combining the style of one image with the content of another. However, unauthorized NST can exploit artwork, raising concerns about artists' rights and motivating the development of proactive protec
Externí odkaz:
http://arxiv.org/abs/2401.09673
Passive acoustic monitoring can be an effective way of monitoring wildlife populations that are acoustically active but difficult to survey visually. Digital recorders allow surveyors to gather large volumes of data at low cost, but identifying targe
Externí odkaz:
http://arxiv.org/abs/2308.12859
Label Distribution Learning (LDL) is a novel machine learning paradigm that assigns label distribution to each instance. Many LDL methods proposed to leverage label correlation in the learning process to solve the exponential-sized output space; amon
Externí odkaz:
http://arxiv.org/abs/2308.01742
Knowledge representation and reasoning (KRR) systems describe and reason with complex concepts and relations in the form of facts and rules. Unfortunately, wide deployment of KRR systems runs into the problem that domain experts have great difficulty
Externí odkaz:
http://arxiv.org/abs/2305.07763
Autor:
Lei, Yaxiong, Wang, Yuheng, Caslin, Tyler, Wisowaty, Alexander, Zhu, Xu, Khamis, Mohamed, Ye, Juan
Enabling gaze interaction in real-time on handheld mobile devices has attracted significant attention in recent years. An increasing number of research projects have focused on sophisticated appearance-based deep learning models to enhance the precis
Externí odkaz:
http://arxiv.org/abs/2304.09584
Publikováno v:
EPTCS 364, 2022, pp. 107-122
Knowledge representation and reasoning (KRR) systems represent knowledge as collections of facts and rules. Like databases, KRR systems contain information about domains of human activities like industrial enterprises, science, and business. KRRs can
Externí odkaz:
http://arxiv.org/abs/2208.03094
Autor:
Wang, Yuheng, Chen, Junyuan
Publikováno v:
Accounting, Auditing & Accountability Journal, 2023, Vol. 37, Issue 1, pp. 336-362.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AAAJ-05-2022-5803
Publikováno v:
IEEE Control Systems Letters, vol. 6, pp. 3391-3396, 2022
We aim to analyze the behaviour of a finite-time stochastic system, whose model is not available, in the context of more rare and harmful outcomes. Standard estimators are not effective in making predictions about such outcomes due to their rarity. I
Externí odkaz:
http://arxiv.org/abs/2203.12689