A new adaptation method called inter-class MLLR has recently been introduced. Inter-class MLLR utilizes relationships among different transformation functions to achieve more reliable estimates of MLLR parameters across multiple classes, and it produces lower word error rates (WER) than conventional MLLR in circumstances where very little speaker-specific adaptation data are available. This pap...

Video-based face recognition has attracted significant attention in many applications such as media technology, network security, human-machine interfaces, and automatic access control system in the past decade. The usual way for face recognition is based upon the grayscale image produced by combining the three color component images. In this work, we consider grayscale image as well as color s...

Distance classifier ensemble method based on Intra-class and Inter-class Scatter is proposed in this paper. By Bootstrap technology, the training samples are sampled repeatedly to generate several subsample set, define matrix with train set scatter matrix, individual classifier. In ensemble, results integrated relative majority voting method. Experiment tested UCI standard database, experimenta...

Metaphor and analogy are perhaps the most challenging aspects of linguistic creativity for a conceptual representation to facilitate, since by their very nature they seek to stretch the boundaries of domain description and dynamically establish new ways of determining inter-domain similarity. By solving the vexing representational problems posed by these phenomena, we can create a more fluid co...