Skip to search formSkip to main contentSkip to account menu

Estimation theory

Known as: Estimability, Parameter estimation, Estimation (econometrics) 
Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
A novel error-aware visual localization method is proposed that utilizes vertical planes, such as vertical building facades in… 
2011
2011
This paper focuses on the problem of human face pose estimation using single image. Traditional methods for 2D-3D feature based… 
Highly Cited
2010
Highly Cited
2010
We present an extension to the SRILM toolkit for training maximum entropy language models with N -gram features. The extension… 
2007
2007
This work proposes a low-complexity reduced-rank method for general parameter estimation using an adaptive decimation and… 
Highly Cited
2005
Highly Cited
2005
The time-of-flight (TOF) principle is a well known principle to acquire a scene in all three dimensions. The advantages of the… 
2001
2001
The estimation problem of the position and orientation of a moving object from visual measurements is considered. Extended Kalman… 
Highly Cited
2000
Highly Cited
2000
Geostatistical theory has shown promise in dealing with issues of stability, uniqueness, and identity of estimates inherent in… 
1996
1996
  • M. Covell
  • 1996
  • Corpus ID: 9057102
Eigen-points estimates the image-plane locations of fiduciary points on an object. By estimating multiple locations… 
1996
1996
We have developed and tested a model to assess the hydrologic and biogeochemical responses of seasonally snow covered alpine… 
1994
1994
As many different modal parameter estimation algorithms have evolved over the past twenty years, the ability to view all…