A multiple classifier fusion approach based on evidence combination is proposed in this paper. The individual classifier is designed based on a refined Nearest Feature Line (NFL),which is called Center-based Nearest N...A multiple classifier fusion approach based on evidence combination is proposed in this paper. The individual classifier is designed based on a refined Nearest Feature Line (NFL),which is called Center-based Nearest Neighbor (CNN). CNN retains the advantages of NFL while it has relatively low computational cost. Different member classifiers are trained based on different feature spaces respectively. Corresponding mass functions can be generated based on proposed mass function determination approach. The classification decision can be made based on the combined evidence and better classification performance can be expected. Experimental results on face recognition provided verify that the new approach is rational and effective.展开更多
In this paper,we investigate some properties of q-Bernoulli polynomials arising from q-umbral calculus.We find a formula for expressing any polynomial as a linear combination of q-Bernoulli polynomials with explicit c...In this paper,we investigate some properties of q-Bernoulli polynomials arising from q-umbral calculus.We find a formula for expressing any polynomial as a linear combination of q-Bernoulli polynomials with explicit coefficients.Also,we establish some connections between q-Bernoulli polynomials and higher-order q-Bernoulli polynomials.展开更多
基金Supported by Grant for State Key Program for Basic Research of China (973) (No. 2007CB311006)
文摘A multiple classifier fusion approach based on evidence combination is proposed in this paper. The individual classifier is designed based on a refined Nearest Feature Line (NFL),which is called Center-based Nearest Neighbor (CNN). CNN retains the advantages of NFL while it has relatively low computational cost. Different member classifiers are trained based on different feature spaces respectively. Corresponding mass functions can be generated based on proposed mass function determination approach. The classification decision can be made based on the combined evidence and better classification performance can be expected. Experimental results on face recognition provided verify that the new approach is rational and effective.
基金supported by the National Research Foundation of Korea(Grant No.2012R1A1A2003786)
文摘In this paper,we investigate some properties of q-Bernoulli polynomials arising from q-umbral calculus.We find a formula for expressing any polynomial as a linear combination of q-Bernoulli polynomials with explicit coefficients.Also,we establish some connections between q-Bernoulli polynomials and higher-order q-Bernoulli polynomials.
