A center sliding Bayesian binary classifier adopting orthogonal polynomials

作者：

Highlights：

• Proposed a center sliding Bayesian classifier with deterministic solution.

• Proposed to adopt orthogonal polynomials for efficient feature expansion.

• Developed an easy tuning mechanism for the classification framework.

• Provided an extensive evaluation of the proposed classifier.

摘要

Highlights•Proposed a center sliding Bayesian classifier with deterministic solution.•Proposed to adopt orthogonal polynomials for efficient feature expansion.•Developed an easy tuning mechanism for the classification framework.•Provided an extensive evaluation of the proposed classifier.

论文关键词：Binary classification,Bayesian inference,Pattern recognition,Orthogonal polynomials

论文评审过程：Received 26 January 2014, Revised 6 November 2014, Accepted 9 December 2014, Available online 17 December 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.12.010