Article

Shift-Aware Sparse Kronecker Tensor Classification

2026-01-30

Abstract excerpt

<title>Abstract</title> <p>Analyzing high-dimensional neuroimaging data for disease classification is challenged by spatial misalignment across subjects. We propose a cyclic-shift logistic sparse Kronecker product decomposition (SKPD) model, which embeds a shift-aware mechanism into a low-rank tensor regression framework. By generating adaptively aligned views of the input, the model improves robustness to anatom...

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Literature Corpus work: 2ae822de-dfdc-5115-9363-a771b3e164a7
DOI: 10.21203/rs.3.rs-7491035/v1

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