Results 31 to 40 of about 150,932 (264)
Sparse Matrix Decompositions For Clustering [PDF]
, 2014 Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
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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
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Probability Matrix Decomposition Models [PDF]
Psychometrika, 1996 In this paper, we consider a class of models for two-way matrices with binary entries of 0 and 1. First, we consider Boolean matrix decomposition , conceptualize it as a latent response model (LRM) and, by making use of this conceptualization ...
Maris, E., DeBoeck, P., Mechelen, I. van
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A Generalized CUR Decomposition for Matrix Pairs
SIAM Journal on Mathematics of Data Science, 2022 We propose a generalized CUR (GCUR) decomposition for matrix pairs $(A, B)$. Given matrices $A$ and $B$ with the same number of columns, such a decomposition provides low-rank approximations of both matrices simultaneously, in terms of some of their rows and columns.
Perfect Y. Gidisu +1 more
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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
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Decomposition of Matrix under Neutrosophic Environment [PDF]
Neutrosophic Sets and Systems, 2019 Matrices help for the effective representation of systems of linear equations and analyzing any sort of data. The decomposition of any matrix allows for the efficient implementation of matrix-based algorithms.
Muhammad Kashif +3 more
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Arbitrary decomposition of a Mueller matrix [PDF]
Optics Letters, 2019 Mueller polarimetry involves a variety of instruments and technologies whose importance and scope of applications are rapidly increasing. The exploitation of these powerful resources depends strongly on the mathematical models that underlie the analysis and interpretation of the measured Mueller matrices and, very particularly, on the theorems for ...
José J. Gil, Ignacio San José
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Learnable Graph-Regularization for Matrix Decomposition
ACM Transactions on Knowledge Discovery from Data, 2023 Low-rank approximation models of data matrices have become important machine learning and data mining tools in many fields, including computer vision, text mining, bioinformatics, and many others. They allow for embedding high-dimensional data into low-dimensional spaces, which mitigates the effects of noise and uncovers latent relations.
Penglong Zhai, Shihua Zhang
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Molecular Oncology, EarlyView.BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi +11 more
wiley +1 more source
A new integrated framework for the identification of potential virus–drug associations
Frontiers in Microbiology, 2023 IntroductionWith the increasingly serious problem of antiviral drug resistance, drug repurposing offers a time-efficient and cost-effective way to find potential therapeutic agents for disease.
Jia Qu +4 more
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