Applying conjugate gradient to the hypergraph ranking system cuts computation time by about 92% on a 1,292-image dataset while preserving F1, but the block randomized SVD approach is not rigorously derived.
Multimedia social search based on hy- pergraph learning,
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Block Randomized Optimization for Adaptive Hypergraph Learning
Applying conjugate gradient to the hypergraph ranking system cuts computation time by about 92% on a 1,292-image dataset while preserving F1, but the block randomized SVD approach is not rigorously derived.