Zobrazeno 1 - 10
of 35 248
pro vyhledávání: '"Lee, Jin"'
The United States has experienced a significant increase in violent extremism, prompting the need for automated tools to detect and limit the spread of extremist ideology online. This study evaluates the performance of Bidirectional Encoder Represent
Externí odkaz:
http://arxiv.org/abs/2408.16749
While significant advancements have been made in music generation and differentiable sound synthesis within machine learning and computer audition, the simulation of instrument vibration guided by physical laws has been underexplored. To address this
Externí odkaz:
http://arxiv.org/abs/2407.05516
To ensure safe urban driving for autonomous platforms, it is crucial not only to develop high-performance object detection techniques but also to establish a diverse and representative dataset that captures various urban environments and object chara
Externí odkaz:
http://arxiv.org/abs/2405.20720
Autor:
Zhang, Xiaohui, Landsness, Eric C, Brier, Lindsey M, Chen, Wei, Tang, Michelle J., Miao, Hanyang, Lee, Jin-Moo, Anastasio, Mark A., Culver, Joseph P.
Wide-field calcium imaging (WFCI) that records neural calcium dynamics allows for identification of functional brain networks (FBNs) in mice that express genetically encoded calcium indicators. Estimating FBNs from WFCI data is commonly achieved by u
Externí odkaz:
http://arxiv.org/abs/2405.19685
Autor:
Lee, Jin Bong, Seo, Jinsol
In this paper, we investigate $L^p$ bounds of maximal Fourier multiplier operators with dilation of fractional dimensions. For the Fourier multipliers, we suggest a criterion related to dimensions of dilation sets which guarantees $L^p$ bounds of the
Externí odkaz:
http://arxiv.org/abs/2405.16855
Parallel tensor network contraction algorithms have emerged as the pivotal benchmarks for assessing the classical limits of computation, exemplified by Google's demonstration of quantum supremacy through random circuit sampling. However, the massive
Externí odkaz:
http://arxiv.org/abs/2405.13946
This position paper presents the AR Language Map, a speculative artifact designed to enhance understanding of linguistic justice among middle and high school students through augmented reality (AR) that allows students to map their linguistic experie
Externí odkaz:
http://arxiv.org/abs/2404.12563
Autor:
Wang, Ziwen, Lee, Jin Wee, Chakraborty, Tanujit, Ning, Yilin, Liu, Mingxuan, Xie, Feng, Ong, Marcus Eng Hock, Liu, Nan
Survival analysis is essential for studying time-to-event outcomes and providing a dynamic understanding of the probability of an event occurring over time. Various survival analysis techniques, from traditional statistical models to state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2403.06999
Diverse studies in systems neuroscience begin with extended periods of curriculum training known as `shaping' procedures. These involve progressively studying component parts of more complex tasks, and can make the difference between learning a task
Externí odkaz:
http://arxiv.org/abs/2402.18361
Autor:
Lee, Jin Hyung, Lee, Ben Seiyon
Gaussian and discrete non-Gaussian spatial datasets are prevalent across many fields such as public health, ecology, geosciences, and social sciences. Bayesian spatial generalized linear mixed models (SGLMMs) are a flexible class of models designed f
Externí odkaz:
http://arxiv.org/abs/2402.15705