Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. ...
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
To manage the complicated data such as recursive elements, multiply namespaces, repeatable structures, extended elements and attributes in the XML Binding documents of distance ed...
Sentiment classification is the task of labeling a review document according to the polarity of its prevailing opinion (favorable or unfavorable). In approaching this problem, a m...
Philip Beineke, Trevor Hastie, Shivakumar Vaithyan...
Linguists and geographers are more and more interested in route direction documents because they contain interesting motion descriptions and language patterns. A large number of s...
Xiao Zhang, Prasenjit Mitra, Sen Xu, Anuj R. Jaisw...