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COLING
2010
13 years 2 months ago
Bipolar Person Name Identification of Topic Documents Using Principal Component Analysis
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...
Chien Chin Chen, Chen-Yuan Wu
CIKM
2010
Springer
13 years 6 months ago
Decomposing background topics from keywords by principal component pursuit
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...
Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
CIKM
2006
Springer
13 years 11 months ago
Improving novelty detection for general topics using sentence level information patterns
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...
Xiaoyan Li, W. Bruce Croft
IWANN
2005
Springer
14 years 28 days ago
Face Recognition System Based on PCA and Feedforward Neural Networks
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...
Alaa Eleyan, Hasan Demirel
CIKM
2009
Springer
14 years 2 months ago
Completing wikipedia's hyperlink structure through dimensionality reduction
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...
Robert West, Doina Precup, Joelle Pineau