Zobrazeno 1 - 10
of 202
pro vyhledávání: '"Kim, Seonho"'
This paper presents Sparse Gradient Descent as a solution for variable selection in convex piecewise linear regression where the model is given as $\mathrm{max}\langle a_j^\star, x \rangle + b_j^\star$ for $j = 1,\dots,k$ where $x \in \mathbb R^d$ is
Externí odkaz:
http://arxiv.org/abs/2411.02225
Autor:
Kim, Seonho, Lee, Kiryung
We consider a least absolute deviation (LAD) approach to the robust phase retrieval problem that aims to recover a signal from its absolute measurements corrupted with sparse noise. To solve the resulting non-convex optimization problem, we propose a
Externí odkaz:
http://arxiv.org/abs/2404.15302
Autor:
Kim, Seonho, Lee, Kiryung
We consider regression of a max-affine model that produces a piecewise linear model by combining affine models via the max function. The max-affine model ubiquitously arises in applications in signal processing and statistics including multiclass cla
Externí odkaz:
http://arxiv.org/abs/2308.08070
In many practical applications including remote sensing, multi-task learning, and multi-spectrum imaging, data are described as a set of matrices sharing a common column space. We consider the joint estimation of such matrices from their noisy linear
Externí odkaz:
http://arxiv.org/abs/2210.07077
Publikováno v:
In Chemical Engineering Journal 1 October 2024 497
Autor:
Kim, Seonho1 (AUTHOR) shkim.lex@gmail.com, Yoon, Juntae2 (AUTHOR) jtyoon@vaiv.kr
Publikováno v:
BMC Bioinformatics. 8/21/2024, Vol. 25 Issue 1, p1-25. 25p.
Autor:
Kim, Seonho
Research on personalization, including recommender systems, focuses on applications such as in online shopping malls and simple information systems. These systems consider user profile and item information obtained from data explicitly entered by use
Externí odkaz:
http://hdl.handle.net/10919/27286
http://scholar.lib.vt.edu/theses/available/etd-04252008-122316/
http://scholar.lib.vt.edu/theses/available/etd-04252008-122316/
The isotopic compositions of ruthenium (Ru) are measured from presolar silicon carbide (SiC) grains. In a popular scenario, the presolar SiC grains formed in the outskirt of an asymptotic giant branch (AGB) star, left the star as a stellar wind, and
Externí odkaz:
http://arxiv.org/abs/2111.03315
Autor:
Chang, Joon Ha, Pin, Min Wook, Kim, Inhye, Kim, Sangbeom, Kim, Seonho, Moon, Sanghyeok, Cho, Junhee, Choi, Sieun, Heo, Boseong, Chandio, Zubair Ahmed, Kim, Youngjin, Cheong, Jun Young, Zide, Dorcas, Madondo, Mandisa, Bladergroen, Bernard Jan, Eldessouki, Mohamed, Escandell, Manuel Martinez, Jeon, Hee-Jae
Publikováno v:
In Journal of Energy Storage 1 April 2024 83
We consider the multivariate max-linear regression problem where the model parameters $\boldsymbol{\beta}_{1},\dotsc,\boldsymbol{\beta}_{k}\in\mathbb{R}^{p}$ need to be estimated from $n$ independent samples of the (noisy) observations $y = \max_{1\l
Externí odkaz:
http://arxiv.org/abs/2103.07020