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07/06/2022
Polynomial Time Near-Time-Optimal Multi-Robot Path Planning in Three Dimensions with Applications to Large-Scale UAV Coordination
For enabling efficient, large-scale coordination of unmanned aerial vehi...
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12/03/2020
Federated Learning with Diversified Preference for Humor Recognition
Understanding humor is critical to creative language modeling with many ...
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01/30/2020
Multi-Participant Multi-Class Vertical Federated Learning
Federated learning (FL) is a privacy-preserving paradigm for training co...
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03/25/2019
Few-Shot Learning-Based Human Activity Recognition
Few-shot learning is a technique to learn a model with a very small amou...
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08/05/2018
Autoencoder Based Sample Selection for Self-Taught Learning
Self-taught learning is a technique that uses a large number of unlabele...
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01/07/2018
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation
Feature selection is a dimensionality reduction technique that selects a...
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01/03/2017
Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation
This paper proposes a new hyperspectral unmixing method for nonlinearly ...
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02/11/2016
