High-dimensional LASSO-based computational regression models: regularization, shrinkage, and selection
F Emmert-Streib, M Dehmer - Machine Learning and Knowledge …, 2019 - mdpi.com
Regression models are a form of supervised learning methods that are important for
machine learning, statistics, and general data science. Despite the fact that classical …
machine learning, statistics, and general data science. Despite the fact that classical …
[PDF][PDF] A Deep Learning Tool to Solve Localization in Mobile Autonomous Robotics.
In this work, a deep learning tool is developed and evaluated to carry out the visual
localization task for mobile autonomous robotics. Through deep learning, a convolutional …
localization task for mobile autonomous robotics. Through deep learning, a convolutional …
Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking
In system identification, estimating parameters of a biomechanical model using limited
observations results in poor identifiability. To cope with this issue, we propose a new method …
observations results in poor identifiability. To cope with this issue, we propose a new method …
A Localization Approach Based on Omnidirectional Vision and Deep Learning
S Cebollada, L Payá, M Flores, V Román… - … on Informatics in Control …, 2020 - Springer
The present work introduces a study about the use of a deep learning tool to tackle the
visual localization. The approach proposed consists in developing a Convolutional Neural …
visual localization. The approach proposed consists in developing a Convolutional Neural …
Sequentially trained, shallow neural networks for real-time 3D odometry
F Rodriguez, B Muminov… - Artificial Intelligence for …, 2023 - spiedigitallibrary.org
Fourier-domain correlation approaches have been successful in a variety of image
comparison approaches but fail when the scenes, patterns, or objects in the images are …
comparison approaches but fail when the scenes, patterns, or objects in the images are …
[图书][B] Fourier Representations with Sequentially-Trained, Shallow Neural Networks for Real-Time Odometry and Object Tracking
FC Rodriguez - 2022 - search.proquest.com
Fourier-domain correlation approaches have been successful in a variety of image
comparison approaches. However, these correlation approaches also lose performance …
comparison approaches. However, these correlation approaches also lose performance …