Aiming at the issue of resource waste associated with waste poly(butylene succinate) (PBS), this work proposes the direct utilization of waste polymers as reaction raw materials for upcycling to produce high-value polyesters with flame-retardant properties. The flame-retardant structures were covalently incorporated in...
Constraint-Aligned Subspace Transformation (CAST), a novel framework that restricts metric adaptation to a low dimensional subspace strictly induced by pairwise constraints, is proposed, and an implicit update formulation that enables distance evaluation in O (r) time, effectively reducing memory complexity to O (nr).
Fei Wang, Le Li, P. Fränti· Proceedings of the 32nd ACM...· 0 citations
Kernel Distance Metric Learning (KDML) is a powerful tool for enhancing clustering performance by adapting the data geometry to correct structural mismatches. However, traditional global KDML methods suffer from severe scalability issues, often incurring O (n3) computational costs and O (n2) memory usage, where n is th...
Fei Wang, Le Li, P. Fränti· Proceedings of the 32nd ACM...· 0 citations
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