Methods › Sequential › Multi-scale analysis › timecauslimitkernel

time-causal limit kernel

timecauslimitkernel

3 papers tagged archive 2025-07-28

Introduced by Tony Lindeberg in Time-causal and time-recursive spatio-temporal receptive fields

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The time-causal limit kernel is a temporal smoothing kernel that is (i) time-causal, (ii) time-recursive and (iii) obeys temporal scale covariance. This kernel constitutes the limit case of coupling an infinite number of truncated exponential kernels in cascade, with specifically chosen time constants to obtain temporal scale covariance. For practical purposes, the infinite convolution operation can often be well approximated by a moderate number (4-8) truncated exponential kernels coupled in cascade. The discrete implementation can, in turn, be performed by a set of first-order recursive filters coupled in cascade.

PaperSource

Papers archive 2025-07-28

3 shown of 3, 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.

Tasks archive 2025-07-28

The archive attaches no task to a paper tagged with this method.

Usage over time archive 2025-07-28

Papers per year tagged with timecauslimitkernel: 2015 to 2023, peak 1 1 0 2015: 1 paper 2015 2016: 0 papers 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 0 papers 2019 2020: 0 papers 2020 2021: 0 papers 2021 2022: 1 paper 2022 2023: 1 paper 2023
Papers per year the archive tags with this method, by the paper's archive date (3 dated). Bars are counts, not a trend claim.

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

Multi-scale analysis

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