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cs.LG2024
Versatile Ordering Network: An Attention-based Neural Network for Ordering Across Scales and Quality Metrics
Zehua Yu, Weihan Zhang, Sihan Pan +1
Ordering has been extensively studied in many visualization applications, such as axis and matrix reordering, for the simple reason that the order will greatly impact the perceived…
cs.LG2023
FlowHON: Representing Flow Fields Using Higher-Order Networks
Nan Chen, Zhihong Li, Jun Tao
Flow fields are often partitioned into data blocks for massively parallel computation and analysis based on blockwise relationships. However, most of the previous techniques only c…