Conventional model transfer techniques, requiring the labelled source data, are not applicable in privacy-protected medical fields. For challenging scenarios, recent data-free domain adaptation (SFDA) has become a mainstream solution but losing focus on inter-sample class information. This paper proposes new Credible Local Context Representation approach for SFDA. Our main idea is to exploit cr...

In this paper, we address the improvement of an acoustic model using the multi-path Hidden Markov network (HMnet) model for automatically creating non-uniform tied-state, context-dependent hidden markov model topologies. Recent research has achieved multi-path model topologies in order to improve the recognition performance in gender-independent, spontaneous-speaking applications. However, the ...

The analysis of datasets taking the form of simple, undirected graphs continues to gain in importance across a variety of disciplines. Two choices of null model, the logistic-linear model and the implicit log-linear model, have come into common use for analyzing such network data, in part because each accounts for the heterogeneity of network node degrees typically observed in practice. Here we...