This paper proposes a new prototype learning algorithm based on the minimization of a conditional log-likelihood loss (CLL), called log-likelihood of margin ( ...

This paper proposes a new prototype learning algorithm based on the minimization of a conditional log-likelihood loss (CLL), called log-likelihood of margin ...

This paper proposes a new prototype learning algorithm based on the conditional log-likelihood loss (CLL), which is based on the discriminative model called log ...

For a common recognition task, the object templates are unknown, thus template learning (prototype learning) [12] becomes very important.

This work adapts LVQ to solve the multi-label problems called ML-LVQ and uses MH as the meta-labeler to predict the number of the labels for the test ...

This paper proposes a new prototype learning algorithm based on the conditional log-likelihood loss (CLL), which is based on the discriminative model called log ...

Prototype learning by margin-based conditional log-likelihood loss. 文献类型：会议论文. 作者, Xiao-Bo Jin; Cheng-Lin Liu ; Xinwen Hou. 出版日期, 2008. 会议名称 ...

Ris. Cite. Request. Authorship; Correction. Regularized margin-based conditional log-likelihood loss for prototype learning. Pattern Recognition.

This paper proposes a new prototype learning algorithm based on the conditional log-likelihood loss (CLL), which is based on the discriminative model called log ...

May 9, 2018 · Regularized margin-based conditional log-likelihood loss for prototype learning. Pat- tern Recognition, 43(7):2428–2438, 2010. [12] T ...