Results 31 to 40 of about 296,448 (209)

Robust covariance estimation for data fusion from multiple sensors [PDF]

, 2011
This paper addresses the robust estimation of a covariance matrix to express uncertainty when fusing information from multiple sensors. This is a problem of interest in multiple domains and applications, namely, in robotics.
Lazarus, Samuel B., Samuel B. Lazarus, Tsourdos, Antonios, Antonios Tsourdos, João Sequeira, Sequeira, João   +5 more
core   +1 more source

Covariance Matrix Preparation for Quantum Principal Component Analysis

PRX Quantum, 2022
Principal component analysis (PCA) is a dimensionality reduction method in data analysis that involves diagonalizing the covariance matrix of the dataset.
Max Hunter Gordon, M. Cerezo, Lukasz Cincio, Patrick J. Coles   +3 more
doaj   +1 more source

Analysis of Covariance with Qualitative Data [PDF]

The Review of Economic Studies, 1980
This paper deals with data that has a group structure. A simple example in the context of a linear regression model is E(yitlx, 1S, ar) = P'xit + ai (i = 1, ...,9 N; t = 1, ... T), where there are T observations within each of N groups. The ai are group specific parameters.
openaire   +1 more source

Cooperative coevolution algorithm with covariance analysis for differential evolution

Tongxin xuebao, 2023
With the increase of the number of decision variables, cooperative coevolution algorithm is easy to fall into local optimization in the process of searching the global optimal solution in large-scale high-dimensional optimization problems.Based on this ...
Bin WANG, Lu REN, Xiaofan WANG, Yajuan CAO   +3 more
doaj  

Factors affecting the performance of Pantaneiro horses

Revista Brasileira de Zootecnia, 2018
This study aimed to assess the physical performance of Pantaneiro horses with and without equine infectious anemia (EIA) under functional conditions of cattle management. The horses were subjected to a performance test and split into two groups according
Geraldo da Silva e Souza, Eliane Gonçalves Gomes, Sandra Aparecida Santos, Adalgiza Souza Carneiro de Rezende, Débora Roque de Freitas Andrade, Márcia Furlan Nogueira, Pablo Trigo, Urbano Gomes Pinto de Abreu   +7 more
doaj   +1 more source

Millimeter Scale Track Irregularity Surveying Based on ZUPT-Aided INS with Sub-Decimeter Scale Landmarks

Sensors, 2017
Railway track irregularity surveying is important for the construction and the maintenance of railway lines. With the development of inertial devices, systems based on Inertial Navigation System (INS) have become feasible and popular approaches in track ...
Qingan Jiang, Wenqi Wu, Yun Li, Mingming Jiang   +3 more
doaj   +1 more source

Ajuste do rendimento para a variação do estande em experimentos de melhoramento genético do feijão Adjustment of the yield for the stand variation in common bean genetic breeding experiments

Pesquisa Agropecuária Brasileira, 2007
O objetivo deste trabalho foi avaliar o ajuste do rendimento pela variação do estande em experimentos de feijão e propor procedimento para ajustamento por análise de co-variação.
Clause Fátima de Brum Piana, João Gilberto Corrêa da Silva, Irajá Ferreira Antunes   +2 more
doaj   +1 more source

Structural Covariance Network Disruption and Functional Compensation in Parkinson’s Disease

Frontiers in Aging Neuroscience, 2020
Purpose: To investigate the structural covariance network disruption in Parkinson’s disease (PD), and explore the functional alterations of disrupted structural covariance network.Methods: A cohort of 100 PD patients and 70 healthy participants underwent
Cheng Zhou, Ting Gao, Tao Guo, Jingjing Wu, Xiaojun Guan, Weiwen Zhou, Peiyu Huang, Min Xuan, Quanquan Gu, Xiaojun Xu, Shunren Xia, Dexing Kong, Jian Wu, Minming Zhang   +13 more
doaj   +1 more source

Nonparametric estimation of covariance functions by model selection [PDF]

, 2009
We propose a model selection approach for covariance estimation of a stochastic process. Under very general assumptions, observing i.i.d replications of the process at fixed observation points, we construct an estimator of the covariance function by ...
Muniz Alvarez, Lilian, Muñiz-Alvarez, Lilian, Biscay, Rolando, Lilian, Muniz-Alvarez, Jérémie Bigot, Lilian Muñiz-Alvarez, Bigot, Jérémie, Rolando Biscay, Jean-Michel Loubes, Loubes, Jean-Michel   +9 more
core   +1 more source

Bayes linear covariance matrix adjustment [PDF]

, 1995
In this thesis, a Bayes linear methodology for the adjustment of covariance matrices is presented and discussed. A geometric framework for quantifying uncertainties about covariance matrices is set up, and an inner-product for spaces of random matrices ...
Wilkinson, Darren James
core