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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05747-8
Abstract: In this paper, composite dynamic movement primitives (DMPs) based on radial basis function neural networks (RBFNNs) are investigated for robots’ skill learning from human demonstrations. The composite DMPs could encode the position and orientation manipulation…
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Keywords:
movement primitives;
composite dynamic;
neural networks;
human robot ... See more keywords
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Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3234536
Abstract: In this paper, we propose a deep metric learning with adaptively composite dynamic constraints (DML-DC) method for image retrieval and clustering. Most existing deep metric learning methods impose pre-defined constraints on the training samples, which…
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Keywords:
metric learning;
dynamic constraints;
adaptively composite;
learning adaptively ... See more keywords