Dynamic kernel network for hyperspectral image classification
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2023.2209268
Abstract: ABSTRACT Deep neural networks have outstanding performance as data-driven solutions for hyperspectral image classification for ground object detection. Among these, convolutional models outperform other strategies for their back-propagated local-filtering mechanisms. However, convolutional models lack the… read more here.
Keywords: kernel; classification; kernel network; dynamic kernel ... See more keywords
Deep Kernel Network Embedding
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3153053
Abstract: This paper concerns the problem of network embedding (NE), whose aim is to learn a low-dimensional representation for each node in networks. We shed a new light to solve the sparsity problem where most of… read more here.
Keywords: network embedding; network; deep kernel; kernel network ... See more keywords