Abstract. Content retrieval of scanned line drawing images is a difficult problem, especially from real-life large scale databases. Existing algorithms don’t work well due to th...
Several types of queries are widely used on the World Wide Web and the expected retrieval method can vary depending on the query type. We propose a method for classifying queries ...
In microblogging services such as Twitter, the users may become overwhelmed by the raw data. One solution to this problem is the classification of short text messages. As short te...
Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Fer...
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
Text frame classification is needed in many applications such as event identification, exact event boundary identification, navigation, video surveillance in multimedia etc. To the...