In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...
Modulo scheduling is an e cient technique for exploiting instruction level parallelism in a variety of loops, resulting in high performance code but increased register requirement...
Alexandre E. Eichenberger, Edward S. Davidson, San...
Inspired by multi-scale tensor voting, a computational framework for perceptual grouping and segmentation, we propose an edge-directed technique for color image superresolution gi...
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown...
Ambiguity of entity mentions and concept references is a challenge to mining text beyond surface-level keywords. We describe an effective method of disambiguating surface forms an...
Yiping Zhou, Lan Nie, Omid Rouhani-Kalleh, Flavian...