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- W598005008 abstract "A fast objects detection method is proposed, which is based on the variance-maximization learning of lifting dyadic wavelet filters. First, we derive a difference equation from two kinds of lifting high-pass components of a target image. The difference equation is an approximation of an inverse problem of an elliptic equation, which includes free parameters of the lifting filter. Since this discrete inverse problem is ill-conditioned, the free parameters are learned by using the least square method and a regularization method. Objects detection is done by applying the learned lifting filter to a query image." @default.
- W598005008 created "2016-06-24" @default.
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- W598005008 date "2014-01-01" @default.
- W598005008 modified "2023-09-27" @default.
- W598005008 title "Objects Detection Method by Learning Lifted Wavelet Filters" @default.
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- W598005008 doi "https://doi.org/10.1007/978-3-662-45646-0_42" @default.
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