Author

Ling Kang

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Jul 2026

A Deterministic Binary Fingerprinting Framework with Zero-Trained Feature Extraction for Sparse Count Matrices

MMTB is introduced, a deterministic non-learned binary representation framework that requires no label supervision, model fitting, or gradient-based optimization and is suited for coarse-grained separation and resource-constrained deployments rather than fine-grained subtype discovery.

Lei Zhao, Fujin Huang, Ling Kang et al. · arXiv.org · 0 citations