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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Paul Cotae

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Conference Open access Oct 2026

Hyperspectral Image Classification Using PCA-Based Deep 2D Convolutional Neural Networks with Spatial Regularization

Hyperspectral image classification remains a challenging task due to the high dimensionality of spectral data and the limited availability of labeled samples. In this work, we propose an efficient and robust classification framework that combines principal component analysis (PCA) for spectral dimensionality reduction...

Matheus Leonel de Andrade, S. Rouamba, Paul Cotae et al. · 0 citations
Conference Oct 2026

Transformer-Based Hyperspectral Image Classification with Spectral Embedding and Permutation-Invariant Neighborhood-Set Attention

Direct adoption of generic vision-transformer tokenization is often inefficient for hyperspectral image (HSI) classification because the data are high-dimensional, spectrally redundant, spatially structured, and label-scarce. This paper presents a multi-benchmark empirical study built on two ideas: linear spectral embe...

Ilkim Aydar, Paul Cotae, Nian Zhang · 0 citations

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