Results 31 to 40 of about 870,005 (280)
Multi‐view registration based on weighted LRS matrix decomposition of motions
Recently, the low‐rank and sparse (LRS) matrix decomposition has been introduced as an effective mean to solve the multi‐view registration. It views each available relative motion as a block element to reconstruct one sparse matrix, which then is used to
Congcong Jin +5 more
doaj +1 more source
Instantons and Merons in Matrix Models [PDF]
Various branches of matrix model partition function can be represented as intertwined products of universal elementary constituents: Gaussian partition functions Z_G and Kontsevich tau-functions Z_K.
A. Alexandrov +74 more
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Relative-Error $CUR$ Matrix Decompositions [PDF]
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of ``components.'' Typically, these components are linear combinations of the rows and columns of the matrix, and are thus difficult to interpret in terms of the original features of the input data.
Drineas, Petros +2 more
openaire +2 more sources
DECOMPOSITION METHOD FOR SOLVING FULLY FUZZY LINEAR SYSTEMS [PDF]
In this paper, we investigate the existence of a positive solution of fully fuzzy linear equation systems. This paper mainly to discuss a new decomposition of a nonsingular fuzzy matrix, the symmetric times triangular (ST) decomposition.
M. MOSLEH, M. OTADI, A. KHANMIRZAIE
doaj
Improved ALS Online Recommendation Algorithm with Missing Data Modeling [PDF]
Implicit feedback has data noise and lacks negative feedback.When using matrix decomposition method to train recommendation model,the feature extraction is not clear and the recommendation result is skewed.Aiming at these problems,an improved Alternating
XING Yuying,XIA Hongbin,WANG Han.
doaj +1 more source
Wave splitting of Maxwell's equations with anisotropic heterogeneous constitutive relations
The equations for the electromagnetic field in an anisotropic media are written in a form containing only the transverse field components relative to a half plane boundary.
Jonsson, B. L. G.
core +1 more source
Nonlinear model order reduction via Dynamic Mode Decomposition [PDF]
We propose a new technique for obtaining reduced order models for nonlinear dynamical systems. Specifically, we advocate the use of the recently developed Dynamic Mode Decomposition (DMD), an equation-free method, to approximate the nonlinear term.
Alla, Alessandro, Kutz, J. Nathan
core +2 more sources
Singular random matrix decompositions: Jacobians [PDF]
For a singular random matrix Y, we find the Jacobians associated with the following decompositions; QR, Polar, Singular Value (SVD), L'U, L'DM and modified QR (QDR). Similarly, we find the Jacobinas of the following decompositions: Spectral, Cholesky's, L'DL and symmetric non-negative definite square root, of the cross-product matrix S = Y'Y.
González Farías, Graciela +1 more
openaire +3 more sources
A decomposition scheme was applied to ALOS/PALSAR data obtained from a fast-growing tree plantation in Sumatra, Indonesia to extract tree stem information and then estimate the forest stand volume.
Yoshio Yamaguchi +6 more
doaj +1 more source
Decomposition results for Gram matrix determinants
We study the Gram matrix determinants for the groups $S_n,O_n,B_n,H_n$, for their free versions $S_n^+,O_n^+,B_n^+,H_n^+$, and for the half-liberated versions $O_n^*,H_n^*$.
Banica, Teodor, Curran, Stephen
core +1 more source

