Abstract: We present a novel recursive Bayesian estimation framework using B-splines for continuous-time 6-DoF dynamic motion estimation. The state vector consists of a recurrent set of position ...
Abstract: In this article, we present a principled study on establishing a recursive Bayesian estimation scheme using B-splines in Euclidean spaces. The use of recurrent control points as the state ...
Recursive Bayesian inference, in which posterior beliefs are updated in light of accumulating data, is a tool for implementing Bayesian models in applications with streaming and/or very large data ...
ABSTRACT: Soil-water characteristic curve (SWCC) is significant to estimate the site-specific unsaturated soil properties (such as unsaturated shear strength and coefficient of permeability) for ...
In this paper, a fast temporal multiple sparse Bayesian learning (FTMSBL)-based channel estimation method for underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) systems is ...
Grid-based Bayesian Estimation Exploiting Sparsity (GBEES) is a non-Gaussian recursive Bayesian filtering method for propagating non-Gaussian uncertainty subject to nonlinear dynamics and measurement ...
Tutorial tags/keywords napari, naive bayes, color, rgb, machine learning, napari ...
The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...
Resource analysis aims to derive symbolic resource bounds of programs. Although numerous automatic, manual, static, and data-driven resource analysis techniques have been developed, they each have ...
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