Abstract: As a crucial part of social behavior modeling, multi-agent trajectory prediction with dynamic interactions has become one of the core technologies for autonomous systems. One of the main ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Abstract: Multi-view Graph Clustering (MGC) is a crucial approach for uncovering complex data structures by leveraging multiple perspectives of data. However, existing MGC methods face two key ...
GDF-MIL (Graph-Driven Fusion Multiple Instance Learning) is a novel graph-driven multi-instance learning framework that adaptively balances topology modeling and semantic feature preservation through ...
Fishing Line Flyback Impact Analysis provides tools for processing multi-sensor force data, calculating impact properties (impulse, energy, velocity), and generating publication-ready statistical ...
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