We propose a novel algorithm for sentiment summarization that takes account of informativeness and readability, simultaneously. Our algorithm generates a summary by selecting and ...
Pedestrian detection is an important application in computer vision. Currently, most pedestrian detection methods focus on learning one or multiple fixed models. These algorithms r...
We propose a first attempt to classify events in static images by integrating scene and object categorizations. We define an event in a static image as a human activity taking pla...
Functional MRI studies commonly refer to activation patterns as being localized in specific Brodmann areas, referring to Brodmann's divisions of the human cortex based on cyt...
Paul Rasser, Philip Ward, Patrick Johnston, Paul M...
In this paper, we propose the use of records management principles to identify and manage Web site resources with enduring value as records. Current Web archiving activities, coll...