Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images
The sparse coding approaches, which learn over-complete bases for efficiently representing
a given set of data, are being extensively studied for various image analysis tasks. However …
a given set of data, are being extensively studied for various image analysis tasks. However …
Group and graph joint sparsity for linked data classification
L Gao, S Zhou - Proceedings of the AAAI Conference on Artificial …, 2016 - ojs.aaai.org
Various sparse regularizers have been applied to machine learning problems, among which
structured sparsity has been proposed for a better adaption to structured data. In this paper …
structured sparsity has been proposed for a better adaption to structured data. In this paper …
Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images
A PV - 2019 - dl.acm.org
The sparse coding approaches, which learn over-complete bases for efficiently representing
a given set of data, are being extensively studied for various image analysis tasks. However …
a given set of data, are being extensively studied for various image analysis tasks. However …