arXiv Machine Learning August 18, 2026 By S\"uha Tuna, \"Ulker Ba\c{s}ar

Convolution-Free Holistic Multivariance Decomposition Layer for Efficient Hyperspectral Image Classification Tensor Networks

Read the original on arXiv Machine Learning →

arXiv:2608. 16241v1 Announce Type: cross Abstract: Feature extraction for hyperspectral image classification is conventionally addressed using rigid tensor decompositions that fail to capture complex spatio-spectral interdependencies, or heavily parameterized convolutional neural networks that are computationally expensive.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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