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Author

Tao Ma

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Preprint Aug 2026

Mapping the Concept Landscape: Structural Perception of Global Distributions for Transparent Data Pruning

Existing data pruning methods predominantly rely on high-dimensional feature embeddings to measure sample importance. However, these compressed vectors often obscure fine-grained semantic interactions, leading to suboptimal coverage of rare semantic concepts in the pruned subsets. In this paper, we propose Mapping the...

Dongyue Wu, Tao Ma · 0 citations
Open access Aug 2026

Feature-Graph-Guided Adaptive Sparse NMF with Anchor Dual Graphs Under the Logarithmic Framework for Data Clustering

This paper proposes a feature-graph-guided adaptive Log-L2,1 sparse NMF with anchor dual graphs under a logarithmic framework that jointly integrate sample structure preservation, feature structure preservation, and feature-aware sparse learning within a unified graph-NMF model.

Quanrun Li, Tao Ma, Fangchen Xu et al. · 0 citations

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