#CompressiveSensing
Live, measured metrics for the hashtag #CompressiveSensing from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #compressivesensing
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-21 22:31 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-21 22:31 UTCNo related tags with measured usage found for #compressivesensing.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-21 22:31 UTCEverything below is measured over the latest 19 public posts (spanning ~30123 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (16) · French (2) · Spanish (1)
Avg boosts / post: 0.9
Top of the latest posts
From Julián Tachella @JulianTachella, posted on "Chi": ""Learning to reconstruct signals from binary measurements alone" We present theory and a #selfsupervised approach for learning to reconstruct incomplete and binary (!) measurements usi
Great news!! A fast, butterfly (aka FFT-like), implementation of the Noiselet Transform [1] is now integrated into the LazyLinop toolbox [2] – “a python toolbox to ease and accelerate computations with (“matrix-free”) linear operators.” Tha
Easy Ghost Imaging Simulations (and some codes to do it at home) A few weeks ago I gave a short seminar on how to do very simple Ghost Imaging simulations. So simple that you can run then in your latptop in a few seconds (or minutes), and y
#compressivesensing across platforms
every network with a public tag surfaceFollow #compressivesensing straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/compressivesensing