ruv af68bd68d8 docs(study): cross-dataset transfer tested (MM-Fi -> NTU-Fi, honest negative) ...

Tested the cross-dataset frontier: MM-Fi-trained CSI representation does NOT
transfer beneficially to NTU-Fi HAR (frozen probe 91.5% = random features
93%; full fine-tune 75% < probe). CSI reps are distribution-locked, same
root cause as within-MM-Fi cross-subject/-env collapse. Caveat: NTU-Fi 6
coarse activities are an easy target (random->93%). Updates the study's
cross-dataset limitation from 'untested' to this measured result.

Co-Authored-By: claude-flow <ruv@ruv.net>

2026-05-31 03:27:38 -04:00

..

homecore-vs-home-assistant.md

bench: HOMECORE vs Home Assistant — measured perf + capability matrix

2026-05-30 23:41:15 -04:00

mmfi-wifi-sensing-study.md

docs(study): cross-dataset transfer tested (MM-Fi -> NTU-Fi, honest negative)

2026-05-31 03:27:38 -04:00

person-count-cog.md

docs(bench): append v0.0.2 section to person-count benchmark log

2026-05-21 19:47:55 -04:00

pose-estimation-cog.md

docs: repoint #640 references to #645 (original deleted, replaced) (#646)

2026-05-19 17:18:05 -04:00

wifi-pose-efficiency-frontier.md

bench: ship int4 edge artifact + CPU latency

2026-05-31 01:30:29 -04:00