Aug 23, 2024 · We propose a novel method that incorporates an optimal consensus heat kernel-induced graph filter to address these issues.

Sep 11, 2024 · Our approach leverages diffusion processes to construct filters that capture high-order information, achieving neighborhood smooth- ing while ...

By integrating a consensus graph filter with downstream clustering tasks within a unified learning framework, our method enhances performance through mutual ...

Oct 22, 2024 · The key contributions are as follows: (1) reducing hallucinations by focusing on high-scoring documents; (2) improving real-time performance ...

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First, we enhance candidate affinities by conducting heat kernel diffusion on each graph separately, capturing higher-order relationships among local cliques.

Gui Yang, Jiale Zou , Yan Chen, Liang Du , Peng Zhou : Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering. IEEE Signal Process. Lett.

Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering · Article ... Multiple kernel clustering with local kernel reconstruction and global heat ...

This article proposes to integrate the min-max learning paradigm adopted by SimpleMKKM into late fusion MVC (LF-MVC), which leads to a tri-level max-min-max ...

Multiple kernel clustering with local kernel reconstruction and global heat diffusion. ... Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering.