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Learning spatial prior with automatically labeled landmarks
2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008We propose a method of automatically labeling landmarks on target images, which are used for training a constellation model to recognize general object class. First, we randomly sample local features (parts) and generate hierarchical representations of images in a similar way to the ?standard model? of visual cortex.
Jianzhai Wu +3 more
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Landmark learning by honey bees
Animal Behaviour, 1987Abstract There are two published models for landmark learning by honey bees: (1) bees remember only the presence or absence of landmarks in each of several sectors around a food source, or (2) bees store a visual image of the landmarks. Experiments reported here indicate that bees are able to remember landmarks pictorially, and store their location ...
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Landmark learning and guidance in insects
Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1992Abstract Insects use terrestrial landmarks both for retrieving important places in their environment, like a nest, and for guiding their way along frequently travelled routes. Places are pinpointed by a form of image matching: the insect moves to maximize the fit between the image on its retina and its memory of surrounding landmarks ...
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Crowdsourcing landmark-assisted localization with deep learning
Future Generation Computer Systems, 2022Suhardi Azliy Junoh +2 more
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Landmark learning by honeybees
Journal of Insect Behavior, 1992P. A. Couvillon, M. E. Bitterman
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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
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