We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...
Driven by continuing scaling of Moore's law, chip multiprocessors and systems-on-a-chip are expected to grow the core count from dozens today to hundreds in the near future. ...
Boris Grot, Joel Hestness, Stephen W. Keckler, Onu...
We describe an approach to automate certain highlevel implementation decisions in a pervasive application, allowing them to be postponed until run time. Our system enables a model...
Justin Mazzola Paluska, Hubert Pham, Umar Saif, Gr...
Credit risk has always been an important issue for banks
and other financial intermediaries. A reliable and consistent
computing system is necessary to simplify the decision
mak...
S. Bonura, V. Morreale, G. Cammarata, F. Cantore,...