Results 21 to 30 of about 35,641 (264)
Learning to select useful landmarks [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1996 To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dead-reckoning) and an image taken of a known environment, our agent first attempts to locate a set of landmarks (real-world objects at known locations), then uses their angular ...
Russell Greiner, Ramana Isukapalli
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Optimizing student engagement in edge-based online learning with advanced analytics
Array, 2023 Edge-Based Online Learning (EBOL), a technique that combines the practical, hands-on approach of EBOL with the convenience of Online Learning (OL), is growing in popularity.
Rasheed Abdulkader +6 more
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Frontiers in Virtual Reality, 2022 The frequent use of GPS-based navigation assistance is found to negatively affect spatial learning. Displaying landmarks effectively while providing wayfinding instructions on such services could facilitate spatial learning because landmarks help ...
Bingjie Cheng +4 more
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Landmark Discrimination Learning in the Dog [PDF]
Learning & Memory, 1999 Allocentric spatial memory was studied in dogs of varying ages and sources using a landmark discrimination task. The primary goal of this study was to develop a protocol to test landmark discrimination learning in the dog. Using a modified version of a landmark test developed for use in monkeys, we successfully trained dogs to make a spatial ...
N W, Milgram +6 more
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Visible-to-Thermal Transfer Learning for Facial Landmark Detection
IEEE Access, 2021 There has been increasing interest in face recognition in the thermal infrared spectrum. A critical step in this process is face landmark detection. However, landmark detection in the thermal spectrum presents a unique set of challenges compared to in ...
Domenick D. Poster +4 more
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Landmark Selection for Zero-shot Learning [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Zero-shot learning (ZSL) is an emerging research topic whose goal is to build recognition models for previously unseen classes. The basic idea of ZSL is based on heterogeneous feature matching which learns a compatibility function between image and class features using seen classes. The function is constructed based on one-vs-all training in which each
Yuchen Guo +5 more
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HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations
IEEE Access, 2023 Facial landmark detection is an essential task in face-processing techniques. Traditional methods, however, require expensive pixel-level labels. Semi-supervised facial landmark detection has been explored as an alternative, but previous approaches only ...
Seoungyoon Kang +3 more
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Cue integration in spatial search for jointly learned landmarks but not for separately learned landmarks. [PDF]
Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017 The authors investigated how humans use multiple landmarks to locate a goal. Participants searched for a hidden goal location along a line between 2 distinct landmarks on a computer screen. On baseline trials, the location of the landmarks and goal varied, but the distance between each of the landmarks and the goal was held constant, with 1 landmark ...
Yu Du +4 more
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The Use of the Library and Lifelong Learning in Faith-Based Private Universities in Nigeria
Bilgi Dünyası, 2019 The purpose of the study was to investigate the suitability of the use of the library course curricula in private universities owned by religious organizations in Nigeria to make undergraduates lifelong learners.
Akinniyi Ayobami Adeleke +2 more
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Data in Brief, 2020 The recent advancements in ICT have made it possible for teaching and learning to be conducted outside the four walls of a University. Furthermore, the recent COVID-19 pandemic that has crippled educational activities in all nations of the world has ...
Oluwatobi Noah Akande +3 more
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