This paper explores scientific metrics in citation networks in scientific communities, how they differ in ranking papers and authors, and why. In particular we focus on network eff...
Compression of term frequency lists and very long document-id lists within an inverted file search engine are examined. Several compression schemes are compared including Elias γ...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Topic tracking is complicated when the stories in the stream occur in multiple languages. Typically, researchers have trained only English topic models because the training storie...
Leah S. Larkey, Fangfang Feng, Margaret E. Connell...
Video information, image processing and computer vision techniques are developing rapidly nowadays because of the availability of acquisition, processing and editing tools, which ...