Learning from small datasets containing nominal attributes
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.069
Abstract: Abstract In many small-data-learning problems, owing to the incomplete data structure, explicit information for decision makers is limited. Although machine learning algorithms are extensively applied to extract knowledge, most of them are developed without considering… read more here.
Keywords: continuous outputs; learning small; training sets; small datasets ... See more keywords
Using Neural Encoder-Decoder Models With Continuous Outputs for Remote Sensing Image Captioning
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DOI: 10.1109/access.2022.3151874
Abstract: Remote sensing image captioning involves generating a concise textual description for an input aerial image. The task has received significant attention, and several recent proposals are based on neural encoder-decoder models. Most previous methods are… read more here.
Keywords: image; continuous outputs; remote sensing; encoder decoder ... See more keywords