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In this paper, we propose a data driven approach to text segmentation, while most of the existing unsu-pervised methods determine segmentation boundaries by empirically exploring similarity measurement between adjacent units (e.g. sentences). Firstly, we train a latent Dirichlet allocation (LDA) model with the large scale Wikipedia Corpus to avoid the(More)
Large amount of labeled training data is required to develop robust and effective facial expression analysis methods. However, obtaining such data is typically a tedious and time-consuming task that is proportional to the size of the database. Due to the rapid advance of Internet and Web technologies, it is now feasible to collect a tremendous number of(More)
Automatic analysis of facial expressions is rapidly becoming an area of intense interest in computer vision and artificial intelligence research communities. In this paper an approach is presented for facial expression recognition of the six basic prototype expressions (i. e. The approach utilizes the hybrid transform in which consists of two transforms;(More)
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