davisking/dlib

Add support of extended kernel recursive least squares algorithm

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#515 opened on 2017年4月4日

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help wanted

説明

Hi!

In some domains kernel recursive least squares algorithms are very useful. As well they are also evolving. One of the interesting evolutions is described in A novel extended kernel recursive least squares algorithm by Pingping Zhu, Badong Chen in 2011. This combines KRLS and KF. May be there will be contributors that will add this functionality (or similar one) to the library in the future.

Thanks

コントリビューターガイド

技術スタック
cpp
領域
machine learning
Issue 種別
feature
難度新しい貢献者にとっての実装難度です。1 は非常に小さな変更、5 は専門的な作業です。
5
推定時間経験ある貢献者が調査、実装、テスト、pull request 準備にかけるおおよその時間範囲です。
over 1 week
活動状況Issue が今どれだけ取り組みやすいかを示します。新しい、活発、古い、ブロック中、またはメンテナー入力待ちなどです。
stale
明確さ期待される変更、受け入れ条件、次の手順がどれだけ明確かを示します。
mostly clear
前提条件
C++kernel methodsrecursive least squaresKalman filter
初心者向け度初回貢献者にどれだけ取り組みやすいかを 1-100 で推定したスコアです。
10
調査方針
Refer to the paper 'A novel extended kernel recursive least squares algorithm' by Zhu and Chen. Study existing KRLS implementations in dlib's source code (e.g., in the ml/ directory) to understand the codebase patterns. Need to implement the extended KRLS algorithm combining KRLS and Kalman filter. The issue is a feature request with no further discussion; maintainers may need to provide guidance on acceptance criteria.
Add support of extended kernel recursive least squares algorithm · davisking/dlib#515 | Good First Issue