writeSync(chunk) { addChunk(chunk); return true; },
GlyphNet’s own results support this: their best CNN (VGG16 fine-tuned on rendered glyphs) achieved 63-67% accuracy on domain-level binary classification. Learned features do not dramatically outperform structural similarity for glyph comparison, and they introduce model versioning concerns and training corpus dependencies. For a dataset intended to feed into security policy, determinism and auditability matter more than marginal accuracy gains.
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Victoria Burke, a former therapist Kaley worked with in 2019, testified on Wednesday, and Burke said her social media and her sense of self “were closely related,” adding that what was happening on the platforms could “make or break her mood.”
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