LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "covariance matrices" as a keyword



Photo by titouhwayne from unsplash

Human interaction recognition based on sparse representation of feature covariance matrices

Sign Up to like & get
recommendations! Published in 2018 at "Journal of Central South University"

DOI: 10.1007/s11771-018-3738-3

Abstract: A new method for interaction recognition based on sparse representation of feature covariance matrices was presented. Firstly, the dense trajectories (DT) extracted from the video were clustered into different groups to eliminate the irrelevant trajectories,… read more here.

Keywords: covariance matrices; feature; feature covariance; interaction recognition ... See more keywords
Photo from wikipedia

Directional monitoring and diagnosis for covariance matrices

Sign Up to like & get
recommendations! Published in 2020 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2020.1867830

Abstract: Statistical surveillance for covariance matrices has attracted increasing attention recently. Many approaches have been developed for monitoring general shifts that are arbitrary deviations, as wel... read more here.

Keywords: covariance matrices; monitoring diagnosis; diagnosis covariance; directional monitoring ... See more keywords
Photo by martindorsch from unsplash

Robust tests of the equality of two high-dimensional covariance matrices

Sign Up to like & get
recommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2020.1788085

Abstract: Abstract It is of great importance in both theory and application to test the equality of two covariance matrices and . This article proposes a new robust test based on spatial sign statistic regarding in… read more here.

Keywords: robust tests; high dimensional; covariance matrices; tests equality ... See more keywords
Photo from academic.microsoft.com

Homogeneity test of several covariance matrices with high-dimensional data

Sign Up to like & get
recommendations! Published in 2021 at "Journal of Biopharmaceutical Statistics"

DOI: 10.1080/10543406.2021.1923524

Abstract: ABSTRACT This article not only presents a test based on the well-known Box test for testing the equality of several covariance matrices with high-dimensional data, but also gives the asymptotic distribution of the proposed test.… read more here.

Keywords: high dimensional; covariance matrices; dimensional data; several covariance ... See more keywords
Photo by drew_hays from unsplash

The simultaneous test of equality and circularity of several covariance matrices

Sign Up to like & get
recommendations! Published in 2018 at "Journal of statistical theory and practice"

DOI: 10.1080/15598608.2018.1482806

Abstract: The equality of covariance matrices test is widely used in many statistical procedures, and recently, matrices with a circular pattern, which are particular cases of the well-known Toeplitz matrices, have been considered in practical applications.… read more here.

Keywords: covariance matrices; equality circularity; test;
Photo by joelfilip from unsplash

2D-FFTLog: efficient computation of real-space covariance matrices for galaxy clustering and weak lensing

Sign Up to like & get
recommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"

DOI: 10.1093/mnras/staa1726

Abstract: Accurate covariance matrices for two-point functions are critical for inferring cosmological parameters in likelihood analyses of large-scale structure surveys. Among various approaches to obtaining the covariance, analytic computation is much faster and less noisy than… read more here.

Keywords: real space; covariance matrices; computation; galaxy clustering ... See more keywords
Photo by lucabravo from unsplash

Comparing approximate methods for mock catalogues and covariance matrices – I. Correlation function

Sign Up to like & get
recommendations! Published in 2018 at "Monthly Notices of the Royal Astronomical Society"

DOI: 10.1093/mnras/sty2757

Abstract: This paper is the first in a set that analyses the covariance matrices of clustering statistics obtained from several approximate methods for gravitational structure formation. We focus here on the covariance matrices of anisotropic two-point… read more here.

Keywords: covariance matrices; approximate methods; correlation function; body ... See more keywords
Photo from academic.microsoft.com

Large covariance matrices: accurate models without mocks

Sign Up to like & get
recommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"

DOI: 10.1093/mnras/stz1359

Abstract: Covariance matrix estimation is a persistent challenge for cosmology. We focus on a class of model covariance matrices that can be generated with high accuracy and precision, using a tiny fraction of the computational resources… read more here.

Keywords: matrices accurate; covariance matrices; large covariance; accurate models ... See more keywords
Photo by hannahrdg from unsplash

Millimeter Wave Beamforming Codebook Design via Learning Channel Covariance Matrices Over Riemannian Manifolds

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3222032

Abstract: Covariance matrices of spatially-correlated wireless channels in millimeter wave (mmWave) vehicular networks can be employed to design environment-aware beamforming codebooks. Such covariance matrices can be represented over non-Euclidean (i.e., curved surfaces) manifolds, thanks to their… read more here.

Keywords: covariance matrices; channel covariance; covariance; millimeter wave ... See more keywords
Photo by campaign_creators from unsplash

Estimation of Consistent Cross-Covariance Matrices in a Multisensor Data Fusion

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2022.3172399

Abstract: The article investigates the problems relevant to the fusion of data provided by sensors used for detection and tracking. One of the most burdensome problems on any data fusion in these fields of application is… read more here.

Keywords: cross covariance; data fusion; covariance matrices;
Photo by richtea360 from unsplash

Distributed Kalman Filter With Faulty/Reliable Sensors Based on Wasserstein Average Consensus

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2022.3146418

Abstract: This brief considers distributed Kalman filtering problem for systems with sensor faults. A trust-based classification fusion strategy is proposed to resist against sensor faults. First, the local sensors collect measurements and then update their state… read more here.

Keywords: distributed kalman; wasserstein average; filter faulty; kalman filter ... See more keywords