Results 91 to 100 of about 67,630 (266)
Exponential Decay of Eigenfunctions and Accumulation of Eigenvalues on Manifolds with Axial Analytic Asymptotically Cylindrical Ends [PDF]
, 2010 In this paper we continue our study of the Laplacian on manifolds with axial analytic asymptotically cylindrical ends initiated in~arXiv:1003.2538. By using the complex scaling method and the Phragm\'{e}n-Lindel\"{o}f principle we prove exponential decay
Kalvin, Victor
core
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Weyl-type laws for fractional p-eigenvalue problems
, 2014 We prove an asymptotic estimate for the growth of variational eigenvalues of fractional p-Laplacian eigenvalue problems on a smooth bounded domain.Comment: 10 ...
Iannizzotto, Antonio, Squassina, Marco
core +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
More on Spectral Analysis of Signed Networks
Complexity, 2018 Spectral graph theory plays a key role in analyzing the structure of social (signed) networks. In this paper we continue to study some properties of (normalized) Laplacian matrix of signed networks. Sufficient and necessary conditions for the singularity
Guihai Yu, Hui Qu
doaj +1 more source
Maximizing Neumann fundamental tones of triangles
, 2009 We prove sharp isoperimetric inequalities for Neumann eigenvalues of the Laplacian on triangular domains. The first nonzero Neumann eigenvalue is shown to be maximal for the equilateral triangle among all triangles of given perimeter, and hence among ...
B. A. Siudeja +12 more
core +1 more source
Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang +4 more
wiley +1 more source
Angewandte Chemie, Volume 138, Issue 17, 20 April 2026.We present a new class of electronically and sterically hindered N‐heterocyclic carbenes, referred to as bridged cyclic (amino)ylide carbene (bCAYC), where 9H‐pyrrolo[1,2‐a]indole acted as carbene core and diaryl sulfonium as ylide partner. Corresponding bCAYC‐Au(I) exhibits a weak secondary intramolecular Au···H−C(sp3) interaction as a secondary ...
Sourav Sekhar Bera +6 more
wiley +2 more sources
Universal inequalities for the eigenvalues of a power of the Laplace operator [PDF]
, 2009 In this paper, we obtain a new abstract formula relating eigenvalues of a self-adjoint operator to two families of symmetric and skew-symmetric operators and their commutators.
Ilias, Said, Makhoul, Ola
core +3 more sources
Eigenvalue problems for perturbed p‐Laplacians
AIP Conference Proceedings, 2010 This main subject of this paper is the problem of the existence of eigenvectors and a dispersion analysis of a class of multi parameter eiegen‐value problems for perturbed p‐Laplacians. This paper is particularly, devoted to the problems of describing the eigen‐parameters.
openaire +2 more sources