Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems

Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa. Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems. In 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. pages 7206-7214, IEEE Computer Society, 2017. [doi]

Abstract

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