4 citations · 10 across the 6 of their papers we have counts for
6 papers
VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter Integration
Jian-Yu Chen, Yi-Ru Chen, Yin-Qiao Chang +3
This paper addresses the challenges in learning-based monocular positioning by proposing VKFPos, a novel approach that integrates Absolute Pose Regression (APR) and Relative Pose R…
FracGM: A Fast Fractional Programming Technique for Geman-McClure Robust Estimator
Bang-Shien Chen, Yu-Kai Lin, Jian-Yu Chen +3
Robust estimation is essential in computer vision, robotics, and navigation, aiming to minimize the impact of outlier measurements for improved accuracy. We present a fast algorith…
Data Forecasts of the Epidemic COVID-19 by Deterministic and Stochastic Time-Dependent Models
Bo-Sheng Chen, Zong-Ying Wu, Yen-Jia Chen +1
We propose a deterministic SAIVRD model and a stochastic SARV model of the epidemic COVID-19 involving asymptomatic infections and vaccinations to conduct data forecasts using time…
Generating quantum feature maps for SVM classifier
Bang-Shien Chen, Jann-Long Chern
We present and compare two methods of generating quantum feature maps for quantum-enhanced support vector machine, a classifier based on kernel method, by which we can access high…
The Data Forecast in COVID-19 Model with Applications to US, South Korea, Brazil, India, Russia and Italy
Bo-Cyuan Lin, Yen-Jia Chen, Yi-Cheng Hung +3
In this paper, we firstly propose SQIARD and SIARD models to investigate the transmission of COVID-19 with quarantine, infected and asymptomatic infected, and discuss the relation…
Uniqueness of higher integrable solution to the Landau equation with Coulomb interactions
Jann-Long Chern, Maria Gualdani
We are concerned with the uniqueness of weak solution to the spatially homogeneous Landau equation with Coulomb interactions under the assumption that the solution is bounded in th…