Methods › General › Feedforward Networks › ALCN
Adaptive Locally Connected Neuron
ALCN
Introduced by F. Boray Tek in An Adaptive Locally Connected Neuron Model: Focusing Neuron
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The Adaptive Locally Connected Neuron (ALCN) is a topology aware, and locally adaptive -focusing neuron:
a = f ( ∑ᵢ₌₁ᵐ wᵢϕ( τ(i),Θ) xᵢ + b )
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption 2 Mar 2023 · 0 repositories · arXiv:2303.03925
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An Adaptive Locally Connected Neuron Model: Focusing Neuron 31 Aug 2018 · 2 repositories · arXiv:1809.09533
Tasks archive 2025-07-28
6 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Anomaly Detection | 1 |
| Denoising | 1 |
| Novelty Detection | 1 |
| Semi-supervised Anomaly Detection | 1 |
| Supervised Anomaly Detection | 1 |
| model | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections