The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
Suman K. Sen, Mark Foskey, James Stephen Marron, M...
—Curvelets denoise approach has been widely used in many fields for its ability to obtain high quality result images. However artifacts those appear in the result images of curve...
Stimulated by the success of management innovation in the manufacturing industry – culminating in lean production, many homebuilders attempt to model the construction process on...
With access to real-time information on critical performance indicators of business processes, managers and staff members can play a crucial role in improving the speed and effecti...
In this article, we try to analyze the requirements of developmental processes from the perspective of their implementation in digital hardware. After recalling the motivations fo...
Gianluca Tempesti, Daniel Mange, Enrico Petraglio,...