Learning similarity with cosine similarity ensemble
This paper proposes a cosine similarity ensemble (CSE) method to learn similarity. CSE is a selective ensemble and combines multiple cosine similarity learners. A learner redefines the pattern vectors and determines its threshold adaptively. Experimental results show the superiority of CSE.
cosine similarity selective ensemble similarity learning ensemble learning machine learning