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Visual Computing Group, HTW Berlin, 12459, Berlin, Germany
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The Dynamic Exploration Graph achieves superior efficiency in dynamic nearest neighbor searches, outperforming existing algorithms while maintaining static dataset performance.
Transforming the asymmetric inner product problem into a Euclidean search space could redefine efficiency benchmarks in high-dimensional embedding searches.
