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l1 trend filtering
detrending !1 regularization Hodrick–Prescott fi ltering piecewise linear fitting sparse signal recovery feature selection time series analysis trend estimation
2015/8/10
The problem of estimating underlying trends in time series data arises in a variety of disciplines. In this paper we propose a variation on Hodrick-Prescott (H-P) filtering, a widely used method for t...
Optimal crowd-powered rating and filtering algorithms
Filtering building materials application system implicit assumptions and limits
2015/8/7
We focus on crowd-powered filtering, i.e., filtering a large set of items using humans. Filtering is one of the most commonly used building blocks in crowdsourcing applications and systems. While solu...
MINIMIZING THE ERROR TRACKING OF MOBILE TERMINALS BY KALMAN FILTERING
cellular networks Kalman filtering position tracking
2010/1/12
A method to track mobile terminals in a cellular communication network is presented. It uses the received field strength from the surrounding base stations. A subsequent Kalman filtering is used to mi...