Zobrazeno 1 - 10
of 10 316
pro vyhledávání: '"A. Belton"'
Autor:
Alvarado, Enrique G, Belton, Robin, Lee, Kang-Ju, Palande, Sourabh, Percival, Sarah, Purvine, Emilie, Tymochko, Sarah
The Mapper algorithm is a popular tool for visualization and data exploration in topological data analysis. We investigate an inverse problem for the Mapper algorithm: Given a dataset $X$ and a graph $G$, does there exist a set of Mapper parameters s
Externí odkaz:
http://arxiv.org/abs/2408.11180
The diagnostic accuracy and subjectivity of existing Knee Osteoarthritis (OA) ordinal grading systems has been a subject of on-going debate and concern. Existing automated solutions are trained to emulate these imperfect systems, whilst also being re
Externí odkaz:
http://arxiv.org/abs/2407.11500
The method of Feynman-Kac perturbation of quantum stochastic processes has a long pedigree, with the theory usually developed within the framework of processes on von Neumann algebras. In this work, the theory of operator spaces is exploited to enabl
Externí odkaz:
http://arxiv.org/abs/2407.06732
Publikováno v:
Thirty-seventh Conference on Neural Information Processing Systems Workshop on Medical Imaging meets NeurIPS 2023
Knee Osteoarthritis (OA) is a debilitating disease affecting over 250 million people worldwide. Currently, radiologists grade the severity of OA on an ordinal scale from zero to four using the Kellgren-Lawrence (KL) system. Recent studies have raised
Externí odkaz:
http://arxiv.org/abs/2407.09515
Autor:
Buie, Marc W., Spencer, John R., Porter, Simon B., Benecchi, Susan D., Parker, Alex H., Stern, S. Alan, Belton, Michael, Binzel, Richard P., Borncamp, David, DeMeo, Francesca, Fabbro, S., Fuentes, Cesar, Furusawa, Hisanori, Fuse, Tetsuharu, Gay, Pamela L., Gwyn, Stephen, Holman, Matthew J., Karoji, H., Kavelaars, J. J., Kinoshita, Daisuke, Miyazaki, Satoshi, Mountain, Matt, Noll, Keith S., Osip, David J., Petit, Jean-Marc, Reid, Neill I., Sheppard, Scott S., Showalter, Mark, Steffl, Andrew J., Sterner, Ray E., Tajitsu, Akito, Tholen, David J., Trilling, David E., Weaver, Harold A., Verbiscer, Anne J., Wasserman, Lawrence H., Yamashita, Takuji, Yanagisawa, Toshifumi, Yoshida, Fumi, Zangari, Amanda M.
Following the Pluto fly-by of the New Horizons spacecraft, the mission provided a unique opportunity to explore the Kuiper Belt in-situ. The possibility existed to fly-by a Kuiper Belt object (KBO) as well as to observe additional objects at distance
Externí odkaz:
http://arxiv.org/abs/2403.04927
Compared to the entrywise transforms which preserve positive semidefiniteness, those leaving invariant the inertia of symmetric matrices reveal a surprising rigidity. We first obtain the classification of negativity preservers by combining recent adv
Externí odkaz:
http://arxiv.org/abs/2310.18041
We continue the study of real polynomials acting entrywise on matrices of fixed dimension to preserve positive semidefiniteness, together with the related analysis of order properties of Schur polynomials. Previous work has shown that, given a real p
Externí odkaz:
http://arxiv.org/abs/2310.18020
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 345-352 (2024)
Underwater photogrammetry has gained popularity for creating three-dimensional (3D) maps and ortho-images of marine environments as compared to traditional echosounder surveys, they can be more cost-effective at creating high-resolution 3D models, an
Externí odkaz:
https://doaj.org/article/9cf62767c7974af48ce8b306d0069fe8
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-2024, Pp 45-50 (2024)
Marine growth can substantially affect the hydrodynamic properties of subsea infrastructure. The ability to accurately quantify this growth is essential for designing and maintaining subsea structures. Traditionally, quantifying marine growth has bee
Externí odkaz:
https://doaj.org/article/26a26497db584e7db637a3c24380b13b
Autor:
Alvarado, Enrique, Belton, Robin, Fischer, Emily, Lee, Kang-Ju, Palande, Sourabh, Percival, Sarah, Purvine, Emilie
The Mapper algorithm is a visualization technique in topological data analysis (TDA) that outputs a graph reflecting the structure of a given dataset. However, the Mapper algorithm requires tuning several parameters in order to generate a ``nice" Map
Externí odkaz:
http://arxiv.org/abs/2309.06634