Results 1 to 10 of about 254,373 (189)
HTN Learning via Transfer Learning of Domain Landmarks
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Hierarchical Task Network (HTN) planning uses task-subtask relationships to break complex problems into more manageable subtasks, similar to how human problem-solvers plan.
Greg Pennisi +6 more
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Comparison of 2D, 2.5D, and 3D landmark localization networks for 3D cephalometry in CT images [PDF]
BMC Oral HealthBackground Accurate landmark localization is important for three-dimensional (3D) cephalometric analysis. Although deep learning has shown promising performance for 3D landmark localization, the high computational burden of processing volumetric data ...
Soo-Min Kim +8 more
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One-Shot Learning for Landmarks Detection [PDF]
, 2021 Landmark detection in medical images is important for many clinical applications. Learning-based landmark detection is successful at solving some problems but it usually requires a large number of annotated datasets for the training stage. In addition, traditional methodsusually fail for the landmark detection of fine objects.
Wang, Zihao +5 more
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Generalization of navigation memory in honeybees
Frontiers in Behavioral Neuroscience, 2023 Flying insects like the honeybee learn multiple features of the environment for efficient navigation. Here we introduce a novel paradigm in the natural habitat, and ask whether the memory of such features is generalized to novel test conditions. Foraging
Eric Bullinger +2 more
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Frontiers in Psychology, 2022 There is much evidence, both in humans and rodents, that while navigating males tend to use geometric information whereas females rely more on landmarks. The present work attempts to alter the geometry bias in female rats. In Experiment 1 three groups of
Alejandra Aguilar-Latorre +5 more
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Heliyon, 2021 Developing countries, particularly Nigeria, continually find it challenging to proactively and actively carry out early-stage surveillance for disease outbreaks due to the lack of quality workforce, a dearth of public health data, and the absence of ...
Tunde Adebisi +4 more
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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
doaj +1 more source
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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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 ...
R, Greiner, R, Isukapalli
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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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