Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
Vocabularies to describe research findings are needed to effectively use scientific databases. As understanding of data evolves, scientists need tools for extending the vocabulari...
Josiah Johnston, Arpun Nagaraja, Harry Hochheiser,...
Magnetic Resonance Imaging with non-Cartesian acquisition schemes suffer from blurring artifacts induced by offresonance. Conventional algorithms for off-resonance correction are ...
This work addresses conceptual modeling and automatic code generation for Rich Internet Applications, a variant of Web-based systems bridging the gap between desktop and Web inter...
Alessandro Bozzon, Sara Comai, Piero Fraternali, G...