Inexact and incremental bilinear Lanczos components algorithms for high dimensionality reduction and image reconstruction

作者：

Highlights：

• We proposed an inexact algorithm for image reconstruction

• This algorithm is efficient both in storage and running time.

• We analyze its convergence and backward errors.

• An incremental version of the algorithm is given to handle dynamic increased data set.

摘要

Highlights•We proposed an inexact algorithm for image reconstruction•This algorithm is efficient both in storage and running time.•We analyze its convergence and backward errors.•An incremental version of the algorithm is given to handle dynamic increased data set.

论文关键词：Dimensionality reduction,Image reconstruction,Generalized Low Rank Approximations of Matrices (GLRAM),Bilinear Lanczos components (BLC) algorithm,Inexact algorithm,Incremental learning problem

论文评审过程：Received 13 February 2014, Revised 12 July 2014, Accepted 18 July 2014, Available online 7 August 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.07.024