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Learning Deep Landmarks for Imbalanced Classification
IEEE Transactions on Neural Networks and Learning Systems, 2020We introduce a deep imbalanced learning framework called learning DEep Landmarks in laTent spAce (DELTA). Our work is inspired by the shallow imbalanced learning approaches to rebalance imbalanced samples before feeding them to train a discriminative classifier.
Feng Bao +5 more
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Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113), 2002
Biology often offers valuable example of systems both for learning and for controlling motion. Work in robotics has often been inspired by these findings in diverse ways. Though the fundamental aspects that involve visual landmark learning and motion control mechanisms have almost exclusively been approached heuristically rather than examining the ...
G. Bianco, A. Zelinsky, M. Lehrer
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Biology often offers valuable example of systems both for learning and for controlling motion. Work in robotics has often been inspired by these findings in diverse ways. Though the fundamental aspects that involve visual landmark learning and motion control mechanisms have almost exclusively been approached heuristically rather than examining the ...
G. Bianco, A. Zelinsky, M. Lehrer
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Learning to Localize Little Landmarks
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016We interact everyday with tiny objects such as the door handle of a car or the light switch in a room. These little landmarks are barely visible and hard to localize in images. We describe a method to find such landmarks by finding a sequence of latent landmarks, each with a prediction model.
Saurabh Singh +2 more
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Learning landmark triples by experimentation
Robotics and Autonomous Systems, 1997Abstract This article describes a method for learning a set of landmarks suitable for place navigation. The approach is novel in that it exploits the ability of a robot to learn through active perception in the task environment, similar to the learning by experimentation technique developed for LEX (Mitchell et al., 1990).
Robin R. Murphy +2 more
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