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cs.LG2024
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie, Jiangning Zhu, Guozu Ma +4
Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sa…
cs.HC2024
ReorderBench: A Benchmark for Matrix Reordering
Jiangning Zhu, Zheng Wang, Zhiyang Shen +4
Matrix reordering permutes the rows and columns of a matrix to reveal meaningful visual patterns, such as blocks that represent clusters. A comprehensive collection of matrices, al…
cs.HC2024
Dynamic Color Assignment for Hierarchical Data
Jiashu Chen, Weikai Yang, Zelin Jia +2
Assigning discriminable and harmonic colors to samples according to their class labels and spatial distribution can generate attractive visualizations and facilitate data explorati…