Results 41 to 50 of about 257,716 (284)
Compressed Multi-Row Storage Format for Sparse Matrices on Graphics Processing Units
, 2014 A new format for storing sparse matrices is proposed for efficient sparse matrix-vector (SpMV) product calculation on modern graphics processing units (GPUs).
Koza, Zbigniew +3 more
core +1 more source
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences [PDF]
, 2014 This paper introduces sparse coding and dictionary learning for Symmetric Positive Definite (SPD) matrices, which are often used in machine learning, computer vision and related areas.
Harandi, Mehrtash +3 more
core
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Efficient quantum circuits for Toeplitz and Hankel matrices
, 2016 Toeplitz and Hankel matrices have been a subject of intense interest in a wide range of science and engineering related applications. In this paper, we show that quantum circuits can efficiently implement sparse or Fourier-sparse Toeplitz and Hankel ...
Mahasinghe, A., Wang, J. B.
core +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Bayesian mmWave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures
IEEE Access, 2019 We consider the problem of channel estimation for millimeter wave (mmWave) systems, where both the base station and the mobile station employ a single radio frequency (RF) chain to reduce the hardware cost and power consumption. Recent real-world channel
Kaihui Liu +3 more
doaj +1 more source
Sparse random matrices have simple spectrum [PDF]
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 2020 Let $M_n$ be a class of symmetric sparse random matrices, with independent entries $M_{ij} = _{ij} _{ij}$ for $i \leq j$. $ _{ij}$ are i.i.d. Bernoulli random variables taking the value $1$ with probability $p \geq n^{-1+ }$ for any constant $ > 0$ and $ _{ij}$ are i.i.d. centered, subgaussian random variables.
Luh, Kyle, Vu, Van
openaire +3 more sources
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
CoD-SELL: A Non-Zero Location Dictionary Compression Sparse Matrix Format for SpMV on GPU
IEEE AccessSparse matrix-vector multiplication (SpMV) is a fundamental computational kernel extensively utilized in scientific computing. To accelerate SpMV, various sparse matrix formats have been proposed.
Shun Murakami +4 more
doaj +1 more source
Classification of Polarimetric SAR Images Based on the Riemannian Manifold
Leida xuebao, 2017 Classification is one of the core components in the interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. A new PolSAR image classification approach employs the structural properties of the Riemannian manifold formed by PolSAR ...
Yang Wen +3 more
doaj +1 more source