Results 101 to 110 of about 683,761 (159)

A2PM-VINS: A Visual-Inertial SLAM Method Based on Area-to-Point Matching. [PDF]

Sensors (Basel)
Ma M, Jiang Z, Yan Y, Tang J, Chen Y.
europepmc   +1 more source

IFA-ICP: A Low-Complexity and Image Feature-Assisted Iterative Closest Point (ICP) Scheme for Odometry Estimation in SLAM, and Its FPGA-Based Hardware Accelerator Design. [PDF]

Sensors (Basel)
Li JE, Hwang YT.
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Monocular Visual Pose Estimation Method Based on Spherical Cooperative Target. [PDF]

Sensors (Basel)
Ding Y, Zhang C, Zhang Y, Yang F, Tang Z, Li S, Liu X, Zhao X.   +7 more
europepmc   +1 more source

Bayesian Estimation of Vancomycin Exposure and Population Pharmacokinetics in Obese Patients. [PDF]

Antibiotics (Basel)
Chun HJ, Choi HG, Bang ES, Kyun JO, Kim YR, Kim EJ, Kim SH.   +6 more
europepmc   +1 more source

Position Estimation Considering Uncertain Classification of Cyclists Based on Partially Observed Movement Characteristics. [PDF]

Sensors (Basel)
Suzuki K, Ito T.
europepmc   +1 more source

IHPP: Improved Human Parts as Points for Multi-Person Pose Regression. [PDF]

Sensors (Basel)
Xu H, Liu Y, Fan Y, Zhou S, Lou K, Shen X, Xiao Y.   +6 more
europepmc   +1 more source

A High-Precision Anti-Jamming Algorithm Based on Newton-Iteration-Enhanced Three-Spectral-Line RIFE with Real-Time Implementation. [PDF]

Sensors (Basel)
Tang X, Wang Y.
europepmc   +1 more source

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Point Estimation in Multiplicative Models

Econometrica, 1976
In a multiplicative model it is usual to assume that the logarithm of the disturbance variable is normally distributed with unknown variance a2 and with a mean which is either zero or - la2 according to the viewpoint taken of the object of the model. It is shown that, for each of several estimation criteria, the two assumptions lead to precisely the ...
Evans, I G, Shaban, S A
openaire   +1 more source

Estimation of Principal Points

Applied Statistics, 1993
SUMMARY The k principal points of a p-variate random vector X are defined as those points E, . k which minimize the expected squared distance between X and the nearest of the tj. This paper reviews some of the theory of principal points and redefines them in terms of self-consistent points.
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