davisking/dlib

Add support of extended kernel recursive least squares algorithm

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#515 建立於 2017年4月4日

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 (3 留言) (0 反應) (0 負責人)C++ (12,570 star) (3,314 fork)batch import
help wanted

描述

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

貢獻者指南

技術棧
cpp
領域
machine learning
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
5
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
over 1 week
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
C++kernel methodsrecursive least squaresKalman filter
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
10
研究方向
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.