We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications. Currently frequent pattern miningbased methods and syntactic analysi...
This paper describes the robust reading competitions for ICDAR 2003. With the rapid growth in research over the last few years on recognizing text in natural scenes, there is an u...
Simon M. Lucas, Alex Panaretos, Luis Sosa, Anthony...
Background: The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising te...