2 Bias-correction of Kalman filter estimators associated to a linear state space model with estimated parameters 3

Source URL: ria.ua.pt

• Estimation theory
• Estimator
• Kalman filter
• Minimum mean square error
• Maximum likelihood estimation
• Bias of an estimator
• Mean squared error
• Point estimation
• GaussMarkov theorem
• Extended Kalman filter
• Efficient estimator

Robust Estimation of Nonrigid Transformation for Point Set Registration Jiayi Ma1,2 , Ji Zhao3 , Jinwen Tian1 , Zhuowen Tu4 , and Alan L. Yuille2 1 Huazhong University of Science and Technology, 2 Department of Statistic

Source URL: pages.ucsd.edu

• Computer vision
• Estimation theory
• Statistical theory
• Robust statistics
• Regression analysis
• Image registration
• Point set registration
• Shape context
• Outlier
• Maximum likelihood estimation
• Conference on Computer Vision and Pattern Recognition
• Linear regression

Derivation of Expectation Propagation for “Fast Gaussian Process Methods for Point Process Intensity Estimation” John P. Cunningham Department of Electrical Engineering, Stanford University, Stanford, CA 94305

Source URL: stat.columbia.edu

2-Point-based Outlier Rejection for Camera-IMU Systems with applications to Micro Aerial Vehicles Chiara Troiani1 , Agostino Martinelli1 , Christian Laugier1 and Davide Scaramuzza2 Abstract— This paper presents a novel

Source URL: rpg.ifi.uzh.ch

• RANSAC
• SRI International
• Structure from motion
• Hough transform
• Visual odometry
• Inertial measurement unit
• Motion estimation
• Euler angles
• Motion capture
• Quadcopter
• Reprojection error
• Motion planning

BIOINFORMATICS APPLICATIONS NOTE Vol. 22 no, pages 768–770 doi:bioinformatics/btk051 Genetics and population analysis

Source URL: evolution.gs.washington.edu

• Statistics
• Statistical theory
• Estimation theory
• Statistical inference
• Population genetics
• Statistical genetics
• Coalescent theory
• Haplotype
• Mixture model
• Bayesian inference
• Point estimation
• Models of DNA evolution

ICP Stereo Visual Odometry for Wheeled Vehicles based on a 1DOF Motion Prior Yanhua Jiang1,2 , Huiyan Chen1 , Guangming Xiong1 , Davide Scaramuzza2 Abstract— In this paper, we propose a novel, efficient stereo visual-o

Source URL: rpg.ifi.uzh.ch

• Computer vision
• Artificial intelligence
• Vision
• Robust statistics
• Random sample consensus
• SRI International
• Robotic sensing
• Motion estimation
• Visual odometry
• Structure from motion
• Iterative closest point
• Pose

1-Point-based Monocular Motion Estimation for Computationally-Limited Micro Aerial Vehicles Chiara Troiani1 , Agostino Martinelli1 , Christian Laugier1 and Davide Scaramuzza2 TABLE I: Number of iterations of RANSAC Abst

Source URL: rpg.ifi.uzh.ch

• Statistics
• Random sample consensus
• SRI International
• Vision
• Artificial intelligence
• Motion estimation
• Structure from motion
• Visual odometry
• Reprojection error
• Motion capture
• Outlier

Fast Gaussian Process Methods for Point Process Intensity Estimation John P. Cunningham Department of Electrical Engineering, Stanford University, Stanford, CA, USAJCUNNIN @ STANFORD . EDU

Source URL: stat.columbia.edu

RecapMLE .............

Source URL: genome.sph.umich.edu

• Estimation theory
• Statistical inference
• Statistical theory
• M-estimators
• Maximum likelihood estimation
• Estimator
• Point estimation

Ann Inst Stat Math:595–619 DOIs10463Smooth change point estimation in regression models with random design Maik Döring · Uwe Jensen

Source URL: www.ism.ac.jp