In this paper, a similarity-driven cluster merging method is proposed for unsupervised fuzzy clustering. The cluster merging method is used to resolve the problem of cluster valid...
Traditional metrics used to compare hardware designs include area, performance, and power. However, these metrics do not form a complete evaluation of reconfigurable hardware. For...
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Recently many Automatic Face Recognition (AFR) systems were developed for applications with unspecific persons, which is different from conventional pattern recognition problems wh...
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...