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pro vyhledávání: '"Kim, MinJi"'
In a multi-fidelity setting, data are available from two sources, high- and low-fidelity. Low-fidelity data has larger size and can be leveraged to make more efficient inference about quantities of interest, e.g. the mean, for high-fidelity variables
Externí odkaz:
http://arxiv.org/abs/2410.08523
We propose a graph SLAM algorithm for sparse range sensing that incorporates a soft Manhattan world utilizing landmark-landmark constraints. Sparse range sensing is necessary for tiny robots that do not have the luxury of using heavy and expensive se
Externí odkaz:
http://arxiv.org/abs/2409.15736
Autor:
Kim, MinJi
This thesis investigates the intricate dynamics between aging Korean populations and foreign migrant workers in South Korea’s shrinking regions. By conducting an in-depth analysis of four cities, each representing a unique aspect of the nation's pr
We propose a novel framework for video understanding, called Temporally Contextualized CLIP (TC-CLIP), which leverages essential temporal information through global interactions in a spatio-temporal domain within a video. To be specific, we introduce
Externí odkaz:
http://arxiv.org/abs/2404.09490
In a multifidelity setting, data are available under the same conditions from two (or more) sources, e.g. computer codes, one being lower-fidelity but computationally cheaper, and the other higher-fidelity and more expensive. This work studies for wh
Externí odkaz:
http://arxiv.org/abs/2402.17984
Autor:
Rana, Vishal, Peng, Jianhao, Pan, Chao, Lyu, Hanbaek, Cheng, Albert, Kim, Minji, Milenkovic, Olgica
Dictionary learning (DL) is commonly used in computational biology to tackle ubiquitous clustering problems due to its conceptual simplicity and relatively low computational complexity. However, DL algorithms produce results that lack interpretabilit
Externí odkaz:
http://arxiv.org/abs/2312.10519
Collage is a creative art form that uses diverse material scraps as a base unit to compose a single image. Although pixel-wise generation techniques can reproduce a target image in collage style, it is not a suitable method due to the solid stroke-by
Externí odkaz:
http://arxiv.org/abs/2311.02202
In machine learning applications, distribution shifts between training and target environments can lead to significant drops in model performance. This study investigates the impact of such shifts on binary classification models within the Real-Time
Externí odkaz:
http://arxiv.org/abs/2308.07424
Current robotic hand manipulation narrowly operates with objects in predictable positions in limited environments. Thus, when the location of the target object deviates severely from the expected location, a robot sometimes responds in an unexpected
Externí odkaz:
http://arxiv.org/abs/2306.05262
Publikováno v:
International Journal of Contemporary Hospitality Management, 2023, Vol. 36, Issue 5, pp. 1557-1576.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJCHM-09-2022-1129
