We describe a joint probabilistic model for modeling the contents and inter-connectivity of document collections such as sets of web pages or research paper archives. The model is...
Algorithms that enable the process of automatically mining distinct topics in document collections have become increasingly important due to their applications in many fields and ...
Topic-based text summaries promise to help average users quickly understand a text collection and derive insights. Recent research has shown that the Latent Dirichlet Allocation (...
Text within a camera grabbed image can contain a huge amount of meta data about that scene. Such meta data can be useful for identification, indexing and retrieval purposes. Detec...
Shyama Prosad Chowdhury, Soumyadeep Dhar, Amit Kum...
Several methods exist for printer identification from a printed document. We have developed a system that performs printer identification using intrinsic signatures of the printer...
Aravind K. Mikkilineni, Nitin Khanna, Edward J. De...