Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
This paper presents novel language and analysis techniques that significantly speed up software model checking of data structure properties. Consider checking a red-black tree imp...
Filling out document forms distributed by email or hosted on the Web is still problematic and usually requires a printer and scanner. Users commonly download and print forms, fill...
Laurent Denoue, John Adcock, Scott Carter, Patrick...