Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering

arXiv:2602.18728 · cs.LG, cs.CV · Submitted 2026-02-21 · Read on arXiv

cs.LG, cs.CV

Submitted: 2026-02-21

Updated: 2026-08-26

Comments: Updated author list and revised manuscript

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Clustering — 49× in this paper · explained in 2 episodes
• Hypergraph — 22× in this paper · explained in 2 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Representation Learning — 7× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Regularization — 5× in this paper · explained in 3 episodes
• Spectral clustering — 5× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• International Joint Conference on Artificial Intelligence — 2× in this paper
• Spectral Geometry — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Pseudo-labels — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

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