Efficient characterization method for big automotive datasets used for perception system development and verification
P Kowalczyk, M Komorkiewicz, P Skruch… - IEEE Access, 2022 - ieeexplore.ieee.org
The paper proposes a formal approach for describing and evaluating the datasets that are
used in automotive applications for machine learning, testing, and validation purposes …
used in automotive applications for machine learning, testing, and validation purposes …
[PDF][PDF] Robust multivariate correlation techniques: A confirmation analysis using COVID-19 data set
Robust multivariate correlation techniques are proposed to determine the strength of the
association between two or more variables of interest since the existing multivariate …
association between two or more variables of interest since the existing multivariate …
Evaluation of the handshake turing test for anthropomorphic robots
R Stock-Homburg, J Peters, K Schneider… - Companion of the 2020 …, 2020 - dl.acm.org
Handshakes are fundamental and common greeting and parting gestures among humans.
They are important in shaping first impressions as people tend to associate character traits …
They are important in shaping first impressions as people tend to associate character traits …
Team: a parameter-free algorithm to teach collaborative robots motions from user demonstrations
Learning from demonstrations (LfD) enables humans to easily teach collaborative robots
(cobots) new motions that can be generalized to new task configurations without retraining …
(cobots) new motions that can be generalized to new task configurations without retraining …
PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES
Robust multivariate correlation techniques are proposed to determine the strength of the
association between two or more variables of interest since the existing multivariate …
association between two or more variables of interest since the existing multivariate …
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY
The sample mean classifier, such as the nearest mean classifier (NMC) and the Bayes
classifier, is not robust due to the influence of outliers. Enhancing the robust performance of …
classifier, is not robust due to the influence of outliers. Enhancing the robust performance of …