In this paper, we propose an unsupervised approach for identifying bipolar person names in a set of topic documents. We employ principal component analysis (PCA) to discover bipol...
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
The detection of new information in a document stream is an important component of many potential applications. In this work, a new novelty detection approach based on the identif...
Face recognition is one of the most important image processing research topics which is widely used in personal identification, verification and security applications. In this pape...
Wikipedia is the largest monolithic repository of human knowledge. In addition to its sheer size, it represents a new encyclopedic paradigm by interconnecting articles through hyp...