Results 31 to 40 of about 2,237,660 (304)
Singular random matrix decompositions: distributions. [PDF]
, 2002 Assuming that Y has a singular matrix variate elliptically contoured distribution with respect to the Hausdorff measure, the distributions of several matrices associated to QR, modified QR, SV and Polar decompositions of matrix Y are determined, for ...
González Farías, Graciela +1 more
core +1 more source
Molecules, 2020 Conventional proton nuclear magnetic resonance (1H-NMR) has been widely used for identification and quantification of small molecular components in food.
Feifei Wei +6 more
doaj +1 more source
Computation with No Memory, and Rearrangeable Multicast Networks [PDF]
Discrete Mathematics & Theoretical Computer Science, 2014 We investigate the computation of mappings from a set S^n to itself with "in situ programs", that is using no extra variables than the input, and performing modifications of one component at a time, hence using no extra memory.
Emeric Gioan +2 more
doaj +1 more source
Bayesian Matrix Decomposition and Applications
CoRR, 2023 The sole aim of this book is to give a self-contained introduction to concepts and mathematical tools in Bayesian matrix decomposition in order to seamlessly introduce matrix decomposition techniques and their applications in subsequent sections. However, we clearly realize our inability to cover all the useful and interesting results concerning ...
openaire +3 more sources
A Theoretical Question in the Optimal Design of Matrix Decomposition Based FIR Filter
IEEE Access, 2020 The matrix decomposition (MD) based finite impulse response (FIR) filter is a low-complexity FIR filter. It has been tested the coefficients of the MD-FIR filter can be effectively optimized by the trust-region-iterative-gradient-searching (TR-IGS ...
Hao Wang +3 more
doaj +1 more source
Sparse Matrix Decompositions For Clustering [PDF]
, 2014 Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
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matrix-toolbox/CHM_CATALOG: v2.2.0
, 2023 Sinkhorn matrices, symmetric and Hermitian ...
matrix-toolbox
core +1 more source
Column-coherent matrix decomposition
Data Mining and Knowledge Discovery, 2023 AbstractMatrix decomposition is a widely used tool in machine learning with many applications such as dimension reduction or visualization. In this paper we consider decomposing X, a matrix of size $$n \times m$$ n × m , to a product WS ...
openaire +2 more sources
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source