Results 61 to 70 of about 167,791 (166)

Deep Covariance Estimation Hashing

IEEE Access, 2019
Deep hashing, the combination of advanced convolutional neural networks and efficient hashing, has recently achieved impressive performance for image retrieval.
Yue Wu, Qiule Sun, Yaqing Hou, Jianxin Zhang, Qiang Zhang, Xiaopeng Wei   +5 more
doaj   +1 more source

Combing Instrumental Variable and Variance Matching for Aircraft Flutter Model Parameters Identification

Shock and Vibration, 2019
When the observed input-output data are corrupted by the observed noises in the aircraft flutter stochastic model, we need to obtain the more exact aircraft flutter model parameters to predict the flutter boundary accuracy and assure flight safety.
Hong Jianwang, Ricardo A. Ramirez-Mendoza, Jorge de J. Lozoya Santos   +2 more
doaj   +1 more source

A Functional Estimate of Covariation

Journal of Computational and Graphical Statistics, 2017
ABSTRACTThe analysis of functional data calls for a bivariate functional covariance function σ(s, t) that may be evaluated at any discrete set of points to define a variance-covariance matrix Σ. This article uses finite element methodology to construct a representation of a functional Choleski factor λ(w, s) to define σ(s, t) = ∫λ(w, s)λ(w, t) dw.
openaire   +2 more sources

The Conditional Simulation of Groundwater Flow

工程科学与技术, 2009
:In order to evaluate the effect of parameters’ measurements to the uncertainty of groundwater flow, a conditional model for groundwater flow based on the Karhunen-Loeve decomposition and perturbation expansion is proposed, in which the spatial ...
Shi Liang-Sheng, 廖卫红, 杨金忠, 蔡树英   +3 more
doaj  

Covariance Shrinkage for Dynamic Functional Connectivity

, 2019
The tracking of dynamic functional connectivity (dFC) states in resting-state fMRI scans aims to reveal how the brain sequentially processes stimuli and thoughts. Despite the recent advances in statistical methods, estimating the high dimensional dFC states from a small number of available time points remains a challenge.
Nicolas Honnorat, Ehsan Adeli 0001, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl   +5 more
openaire   +3 more sources

Bias-free estimation of the covariance function and the power spectral density from data with missing samples including extended data gaps

EURASIP Journal on Advances in Signal Processing
Nonparametric estimation of the covariance function and the power spectral density of uniformly spaced data from stationary stochastic processes with missing samples is investigated.
Nils Damaschke, Volker Kühn, Holger Nobach   +2 more
doaj   +1 more source

Efficient Semiparametric Regression for Longitudinal Data with Regularized Estimation of Error Covariance Function. [PDF]

J Nonparametr Stat, 2019
Jia S, Zhang C, Wu H.
europepmc   +1 more source

A class of isotropic covariance functions [PDF]

Pacific Journal of Mathematics, 1976
openaire   +3 more sources

A TLS-Motivated Non-Iterative Robust Square-Root Cubature Kalman Filter for Bearings-Only Tracking. [PDF]

Sensors (Basel)
Li C, Wu H, Zeng G, Yang M, Zhao Y, Mehmood A.   +5 more
europepmc   +1 more source

A robust direction of arrival estimation method based on the chaotic MUSIC algorithm. [PDF]

Sci Rep
Muni BK, Delwar TS, Panigrahi T, Kumar Pradhan P, Ra IH, Kim HJ, Kaur M, Hosen ASMS, Ryu JY.   +8 more
europepmc   +1 more source