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pro vyhledávání: '"Arsh, A."'
We continue our study of exponent semigroups of rational matrices. Our main result is that the matricial dimension of a numerical semigroup is at most its multiplicity (the least generator), greatly improving upon the previous upper bound (the conduc
Externí odkaz:
http://arxiv.org/abs/2407.15571
Numerical semigroups from rational matrices I: power-integral matrices and nilpotent representations
Our aim in this paper is to initiate the study of exponent semigroups for rational matrices. We prove that every numerical semigroup is the exponent semigroup of some rational matrix. We also obtain lower bounds on the size of such matrices and discu
Externí odkaz:
http://arxiv.org/abs/2407.03560
Recently, we have seen growing interest among patients with chronic conditions to track their health-related data. There are many wearable devices available to track different health data. However, tracking pain is mostly done by using pen and paper
Externí odkaz:
http://arxiv.org/abs/2407.02697
Sample efficiency is critical when applying learning-based methods to robotic manipulation due to the high cost of collecting expert demonstrations and the challenges of on-robot policy learning through online Reinforcement Learning (RL). Offline RL
Externí odkaz:
http://arxiv.org/abs/2406.13961
The creation of a Software Requirements Specification (SRS) document is important for any software development project. Given the recent prowess of Large Language Models (LLMs) in answering natural language queries and generating sophisticated textua
Externí odkaz:
http://arxiv.org/abs/2404.17842
Autor:
Holste, Gregory, Zhou, Yiliang, Wang, Song, Jaiswal, Ajay, Lin, Mingquan, Zhuge, Sherry, Yang, Yuzhe, Kim, Dongkyun, Nguyen-Mau, Trong-Hieu, Tran, Minh-Triet, Jeong, Jaehyup, Park, Wongi, Ryu, Jongbin, Hong, Feng, Verma, Arsh, Yamagishi, Yosuke, Kim, Changhyun, Seo, Hyeryeong, Kang, Myungjoo, Celi, Leo Anthony, Lu, Zhiyong, Summers, Ronald M., Shih, George, Wang, Zhangyang, Peng, Yifan
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more relatively rare conditions. In chest radiography, diagnosis is both a long
Externí odkaz:
http://arxiv.org/abs/2310.16112
Publikováno v:
The Emerald Handbook of Tourism Economics and Sustainable Development
Autor:
Zhang, Arthur, Eranki, Chaitanya, Zhang, Christina, Park, Ji-Hwan, Hong, Raymond, Kalyani, Pranav, Kalyanaraman, Lochana, Gamare, Arsh, Bagad, Arnav, Esteva, Maria, Biswas, Joydeep
We introduce the UT Campus Object Dataset (CODa), a mobile robot egocentric perception dataset collected on the University of Texas Austin Campus. Our dataset contains 8.5 hours of multimodal sensor data: synchronized 3D point clouds and stereo RGB v
Externí odkaz:
http://arxiv.org/abs/2309.13549
Real-world application of chest X-ray abnormality classification requires dealing with several challenges: (i) limited training data; (ii) training and evaluation sets that are derived from different domains; and (iii) classes that appear during trai
Externí odkaz:
http://arxiv.org/abs/2309.04462
Autor:
Verma, Arsh
Chest X-rays (CXRs) are a medical imaging modality that is used to infer a large number of abnormalities. While it is hard to define an exhaustive list of these abnormalities, which may co-occur on a chest X-ray, few of them are quite commonly observ
Externí odkaz:
http://arxiv.org/abs/2309.04293