Compared to scanned images, document pictures captured by camera can suffer from distortions due to perspective and page warping. It is necessary to restore a frontal planar view ...
Whole-book recognition is a document image analysis strategy that operates on the complete set of a book’s page images, attempting to improve accuracy by automatic unsupervised ...
An open problem for Distributed Information Retrieval systems (DIR) is how to represent large document repositories, also known as resources, both accurately and efficiently. Obt...
The use of topical features is abundant in Natural Language Processing (NLP), a major example being in dictionary-based Word Sense Disambiguation (WSD). Yet previous research does...
For general law invariant coherent measures of risk, we derive an equivalent representation of a risk-averse newsvendor problem as a meanrisk model. We prove that the higher the w...