Results 121 to 130 of about 6,200 (156)

Topological data analysis and topological deep learning beyond persistent homology: a review. [PDF]

Artif Intell Rev
Su Z, Liu X, Hamdan LB, Maroulas V, Wu J, Carlsson G, Wei GW, Wei GW.   +7 more
europepmc   +1 more source

PERSISTENT SHEAF LAPLACIANS. [PDF]

Found Data Sci
Wei X, Wei GW.
europepmc   +1 more source

Signal extraction in SWAXS data for the compact X-ray light sources: a machine learning approach. [PDF]

Sci Rep
Opperman AK, Huang S, Botha S, Fung R, Golla SN, Schmidt KE, Grant TD, Kirian RA, Hosseinizadeh A.   +8 more
europepmc   +1 more source

Area Law for the Entanglement Entropy of Free Fermions in Nonrandom Ergodic Field. [PDF]

Entropy (Basel)
Pastur L, Shamis M.
europepmc   +1 more source

Collaborative representation and confidence-driven semi-supervised learning for hyperspectral image classification. [PDF]

Sci Rep
Chen Y, Lu H, Huang X.
europepmc   +1 more source

Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysis. [PDF]

Med Phys
Moslemi A, Safakish A, Sannachi L, Alberico D, Czarnota GJ.   +4 more
europepmc   +1 more source

Mapping Higher-Order Topology in OCD Brain Networks with Hodge Laplacian

Ruan H, Chung MK, Bruin WB, Džinalija N, Abe Y, Alonso P, Anticevic A, Balachander S, Batistuzzo MC, Benedetti F, Bertolín S, Brem S, Cho Y, Colombo F, Couto B, Eng GK, Ferreira S, Feusner JD, Grazioplene RG, Gruner P, Hagen K, Hansen B, Hirano Y, Hoexter MQ, Ipser J, Jaspers-Fayer F, Kim M, Kwon JS, Lazaro L, Li CR, Lochner C, Marsh R, Martínez-Zalacaín I, Menchón JM, Moreira PS, Morgado P, Muñoz E, Nakagawa A, Narayanaswamy JC, Nurmi EL, O’Neill J, Pariente JC, Piacentini JC, Picó-Pérez M, Piras F, Piras F, Pittenger C, Reddy JYC, Rodriguez-Manrique D, Sakai Y, Sato JR, Shimizu E, Shivakumar V, Simpson HB, Soriano-Mas C, Sousa N, Stern ER, Stewart E, Szeszko PR, Thomopoulos SI, Thorsen AL, Vai B, van der Straten A, van der Werf YD, van Leeuwen W, van Marle H, van Wingen G, Vecchio D, Venkatasubramanian G, Vriend C, Walitza S, Wang Z, Yoshida T, Yun J, Zhao Q, ENIGMA OCD Working Group, Thompson PM, Stein DJ, van den Heuvel OA, Koch K.   +79 more
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Laplacian Controllability for Graphs with Integral Laplacian Spectrum

Mediterranean Journal of Mathematics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zoran Stanić
exaly   +3 more sources

The Laplacian Spectrum of a Graph II

SIAM Journal on Discrete Mathematics, 1994
Summary: [For Part I see \textit{R. Grone}, \textit{R. Merris} and \textit{V. S. Sunder}, SIAM J. Matrix Anal. Appl. 11, No. 2, 218-238 (1990; Zbl 0733.05060).] Let \(G\) be a graph. Denote by \(D(G)\) the diagonal matrix of its vertex degrees and by \(A(G)\) its adjacency matrix. Then \(L(G) = D(G) -A(G)\) is the Laplacian matrix of \(G\).
Robert Gröne, Russell Merris
exaly   +2 more sources

The Spectrum and Laplacian Spectrum of the Dice Lattice

Journal of Statistical Physics, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Shuli, Yan, Weigen, Tian, Tao
openaire   +1 more source