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Meta-Learning by Landmarking Various Learning Algorithms.
2000Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a source for the definition of meta-attributes. Contrary to such approaches, landmarking tries to determine the location of a specific learning problem in the space of all learning
Pfahringer, Bernhard +2 more
openaire
Learning to Detect Scene Landmarks for Camera Localization
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022Tien Do +4 more
openaire +1 more source
IEEE Transactions on Circuits and Systems for Video Technology, 2020
Yong Man Ro, Hong Joo Lee, Seong Tae Kim
exaly
Yong Man Ro, Hong Joo Lee, Seong Tae Kim
exaly
Automatic Cephalometric Landmark Detection on X-ray Images Using a Deep-Learning Method
Applied Sciences (Switzerland), 2020Yutaro Iwamoto, Xu Qiao, Yenwei Chen
exaly
Landmark-based deep multi-instance learning for brain disease diagnosis
Medical Image Analysis, 2018, Ehsan Adeli, Mingxia Liu
exaly

