Results 321 to 330 of about 7,875,205 (365)

Stacked Hourglass Networks for Human Pose Estimation

European Conference on Computer Vision, 2016
This work introduces a novel convolutional network architecture for the task of human pose estimation. Features are processed across all scales and consolidated to best capture the various spatial relationships associated with the body.
Alejandro Newell, Kaiyu Yang, Jia Deng
semanticscholar   +1 more source

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

Nature Neuroscience, 2018
Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis can be
Alexander Mathis, Pranav Mamidanna, Kevin M. Cury, Taiga Abe, V. Murthy, Mackenzie W. Mathis, M. Bethge   +6 more
semanticscholar   +1 more source

Estimation of Variance of the Ratio Estimator [PDF]

Biometrika, 1982
SUMMARY A general class of estimators of the variance of the ratio estimator is considered, which includes two standard estimators vo and v2 and approximates another estimator VH suggested by Royall & Eberhardt (1975). Asymptotic expansions for the variances and biases of the proposed estimators are obtained.
openaire   +1 more source

Density Estimation for Statistics and Data Analysis

, 1987
Introduction. Survey of Existing Methods. The Kernel Method for Univariate Data. The Kernel Method for Multivariate Data. Three Important Methods. Density Estimation in Action.
Bernard Walter Silverman
semanticscholar   +1 more source

Fundamentals of statistical signal processing: estimation theory

, 1993
Minimum variance unbiased estimation Cramer-Rao lower bound linear models general minimum variance unbiased estimation best linear unbiased estimators maximum likelihood estimation least squares method of moments the Bayesian philosophy general Bayesian ...
S. Kay
semanticscholar   +1 more source

On enantiomorph‐polarity estimation

, 1983
The behaviour of Rogers's η parameter for enantiomorph-polarity estimation is examined theoretically and experimentally on simulated intensity data for seven well-assorted compounds.
BY H. D. Flack
semanticscholar   +1 more source

Estimation of Variance of the Regression Estimator

Journal of the American Statistical Association, 1987
Abstract The regression estimator and the ratio estimator are commonly used in survey practice. In the past more attention has been given to the ratio estimator because of its computational ease and applicability for general sampling designs. The ratio estimator is appropriate for populations whose regression line passes close to the origin.
Chien-Fu Wu, Lih-Yuan Deng
openaire   +2 more sources

Robust Estimation Through Estimating Equations

Biometrika, 1984
The paper deals with the choice of parameter definition. It develops the concepts of parameter defining function and effective parameter. It also provides theory and techniques for choosing from a given set of robust parameters the one that can most efficiently be estimated. This theory is applied to location parameters.
M. E. Thompson, V. P. Godambe
openaire   +2 more sources