Zobrazeno 1 - 10
of 21 387
pro vyhledávání: '"Kim, Soo A"'
We consider functional linear regression models where functional outcomes are associated with scalar predictors by coefficient functions with shape constraints, such as monotonicity and convexity, that apply to sub-domains of interest. To validate th
Externí odkaz:
http://arxiv.org/abs/2407.00859
Colonoscopy is a common and practical method for detecting and treating polyps. Segmenting polyps from colonoscopy image is useful for diagnosis and surgery progress. Nevertheless, achieving excellent segmentation performance is still difficult becau
Externí odkaz:
http://arxiv.org/abs/2405.07523
Autor:
Song, Yizhi, Zhang, Zhifei, Lin, Zhe, Cohen, Scott, Price, Brian, Zhang, Jianming, Kim, Soo Ye, Zhang, He, Xiong, Wei, Aliaga, Daniel
Generative object compositing emerges as a promising new avenue for compositional image editing. However, the requirement of object identity preservation poses a significant challenge, limiting practical usage of most existing methods. In response, t
Externí odkaz:
http://arxiv.org/abs/2403.10701
In this paper, we are going to share a draft of the development of a conversational agent created to disseminate information about historical sites located in the Seoul. The primary objective of the agent is to increase awareness among visitors who a
Externí odkaz:
http://arxiv.org/abs/2402.06929
Autor:
Cha, Junghun, Haider, Ali, Yang, Seoyun, Jin, Hoeyeong, Yang, Subin, Uddin, A. F. M. Shahab, Kim, Jaehyoung, Kim, Soo Ye, Bae, Sung-Ho
A significant volume of analog information, i.e., documents and images, have been digitized in the form of scanned copies for storing, sharing, and/or analyzing in the digital world. However, the quality of such contents is severely degraded by vario
Externí odkaz:
http://arxiv.org/abs/2402.05350
Autor:
Gezalyan, Auguste, Kim, Soo, Lopez, Carlos, Skora, Daniel, Stefankovic, Zofia, Mount, David M.
The Hilbert metric is a distance function defined for points lying within the interior of a convex body. It arises in the analysis and processing of convex bodies, machine learning, and quantum information theory. In this paper, we show how to adapt
Externí odkaz:
http://arxiv.org/abs/2312.05987
Autor:
Tu, Vu Ngoc, Huynh, Van Thong, Yang, Hyung-Jeong, Zaheer, M. Zaigham, Nawaz, Shah, Nandakumar, Karthik, Kim, Soo-Hyung
Conversational engagement estimation is posed as a regression problem, entailing the identification of the favorable attention and involvement of the participants in the conversation. This task arises as a crucial pursuit to gain insights into human'
Externí odkaz:
http://arxiv.org/abs/2308.01966
The human brain remains continuously active, whether an individual is working or at rest. Mental activity is a daily process, and if the brain becomes excessively active, known as overload, it can adversely affect human health. Recently, advancements
Externí odkaz:
http://arxiv.org/abs/2308.02409
To resolve disputes or determine the order of things, people commonly use binary choices such as tossing a coin, even though it is obscure whether the empirical probability equals to the theoretical probability. The geomagnetic field (GMF) is broadly
Externí odkaz:
http://arxiv.org/abs/2306.16292
This paper presents an efficient Multi-scale Transformer-based approach for the task of Emotion recognition from Physiological data, which has gained widespread attention in the research community due to the vast amount of information that can be ext
Externí odkaz:
http://arxiv.org/abs/2305.00769