Results 41 to 50 of about 1,166,366 (314)
Synthetic Spatial Foraging With Active Inference in a Geocaching Task
Frontiers in Neuroscience, 2022 Humans are highly proficient in learning about the environments in which they operate. They form flexible spatial representations of their surroundings that can be leveraged with ease during spatial foraging and navigation. To capture these abilities, we
Victorita Neacsu +3 more
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, 2015 Undoing the image formation process and therefore decomposing appearance into its intrinsic properties is a challenging task due to the under-constraint nature of this inverse problem.
Fritz, Mario +4 more
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Non-Stationary Representation Learning in Sequential Linear Bandits
IEEE Open Journal of Control Systems, 2022 In this paper, we study representation learning for multi-task decision-making in non-stationary environments. We consider the framework of sequential linear bandits, where the agent performs a series of tasks drawn from different environments.
Yuzhen Qin +4 more
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Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving
Sensors, 2019 Since the state-of-the-art deep learning algorithms demand a large training dataset, which is often unavailable in some domains, the transfer of knowledge from one domain to another has been a trending technique in the computer vision field.
Suvash Sharma +5 more
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New Trends in Bioremediation Technologies Toward Environment-Friendly Society: A Mini-Review
Frontiers in Bioengineering and Biotechnology, 2021 Today's environmental balance has been compromised by the unreasonable and sometimes dangerous actions committed by humans to maintain their dominance over the Earth's natural resources.
Kunal Dutta +2 more
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Validation of Deep Learning-Based Artifact Correction on Synthetic FLAIR Images in a Different Scanning Environment [PDF]
Journal of Clinical Medicine, 2020 We investigated the capability of a trained deep learning (DL) model with a convolutional neural network (CNN) in a different scanning environment in terms of ameliorating the quality of synthetic fluid-attenuated inversion recovery (FLAIR) images. The acquired data of 319 patients obtained from the retrospective review were used as test sets for the ...
Kyeong Hwa Ryu +8 more
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IEEE Access, 2022 In the autonomous car, perception with point cloud semantic segmentation helps obtain a wealth of information about the surrounding road environment.
Jimin Jeong +5 more
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Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails
, 2019 Robots hold promise in many scenarios involving outdoor use, such as search-and-rescue, wildlife management, and collecting data to improve environment, climate, and weather forecasting.
Iuzzolino, Michael L. +2 more
core +1 more source
The role of engagement in synthetic learning environments
, 2015 Synthetic learning environments (SLEs) are often lauded for their ability to "motivate" trainees. However, little empirical evidence exists to support the popular claim that SLEs work because they are motivating. The reason for the lack of evidence supporting these claims lies in the often inadequate definition and measurement of the motivation ...
Nelson, Tristan Quinn, author +4 more
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Design and Verification of Spacecraft Pose Estimation Algorithm using Deep Learning
Journal of Astronomy and Space SciencesThis study developed a real-time spacecraft pose estimation algorithm that combined a deep learning model and the leastsquares method. Pose estimation in space is crucial for automatic rendezvous docking and inter-spacecraft communication. Owing to the
Shinhye Moon +3 more
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