Zobrazeno 1 - 10
of 7 356
pro vyhledávání: '"Ming, Jun"'
In this work, we propose to use a local clustering approach based on the sparse solution technique to study the medical image, especially the lung cancer image classification task. We view images as the vertices in a weighted graph and the similarity
Externí odkaz:
http://arxiv.org/abs/2407.08800
Autor:
Hu, Tsung-Wei, Lai, Ming-Jun
This paper outlines a methodology for constructing a geometrically smooth interpolatory curve in $\mathbb{R}^d$ applicable to oriented and flattenable points with $d\ge 2$. The construction involves four essential components: local functions, blendin
Externí odkaz:
http://arxiv.org/abs/2405.11123
Autor:
Shen, Zhaiming, Wang, Menglun, Cheng, Guang, Lai, Ming-Jun, Mu, Lin, Huang, Ruihao, Liu, Qi, Zhu, Hao
Being able to successfully determine whether the testing samples has similar distribution as the training samples is a fundamental question to address before we can safely deploy most of the machine learning models into practice. In this paper, we pr
Externí odkaz:
http://arxiv.org/abs/2405.03060
Surface-based data is commonly observed in diverse practical applications spanning various fields. In this paper, we introduce a novel nonparametric method to discover the underlying signals from data distributed on complex surface-based domains. Our
Externí odkaz:
http://arxiv.org/abs/2403.05644
Autor:
Lai, Ming-Jun, Shen, Zhaiming
We propose a new approach for approximating functions in $C([0,1]^d)$ via Kolmogorov superposition theorem (KST) based on the linear spline approximation of the K-outer function in Kolmogorov superposition representation. We improve the results in \c
Externí odkaz:
http://arxiv.org/abs/2401.03956
Social and behavioral determinants of health (SDOH) play a significant role in shaping health outcomes, and extracting these determinants from clinical notes is a first step to help healthcare providers systematically identify opportunities to provid
Externí odkaz:
http://arxiv.org/abs/2310.18431
Autor:
Lai, Ming-Jun, Lee, Jinsil
In this paper, we study a spline collocation method for a numerical solution to the optimal transport problem We mainly solve the \MAE with the second boundary condition numerically by proposing a center matching algorithm. We prove a pointwise conve
Externí odkaz:
http://arxiv.org/abs/2310.17169
We study the classic matrix cross approximation based on the maximal volume submatrices. Our main results consist of an improvement of the classic estimate for matrix cross approximation and a greedy approach for finding the maximal volume submatrice
Externí odkaz:
http://arxiv.org/abs/2309.17403
Publikováno v:
JCAP10(2023)059
Electron(positron), proton and nuclei can be accelerated to very high energy by local supernova remnants (SNR). The famous excesses of electron and proton (nuclei) potentially come from such kind of local sources. Recently, the DAMPE experiment measu
Externí odkaz:
http://arxiv.org/abs/2304.04226
Autor:
Ya-Kui Mou, Xiao-Yu Song, Han-Rui Wang, Yao Wang, Wan-Chen Liu, Ting Yang, Ming-Jun Zhang, Yue Hu, Chao Ren, Xi-Cheng Song
Publikováno v:
Neurobiology of Disease, Vol 202, Iss , Pp 106690- (2024)
The nose–brain axis (NBA), a critical component of the body–brain axis, not only serves as a drug transport route for the treatment of brain diseases but also mediates changes such as neuroimmune disorders, which may be an important mechanism in
Externí odkaz:
https://doaj.org/article/ac6dda8a8c4444a0a71995a2c2d9c299
