An algorithm of estimation of the curvature at each point of a general discrete curve in O(nlog2 n) is proposed. It uses the notion of blurred segment, extending the definition of...
Analysis of biological data often requires an understanding of components of pathways and/or networks and their mutual dependency relationships. Such systems are often analyzed and...
Hillel Kugler, Amir Pnueli, Michael J. Stern, E. J...
K-Nearest Neighbors relies on the definition of a global metric. In contrast, Discriminant Adaptive Nearest Neighbor (DANN) computes a different metric at each query point based o...
This paper presents a new algorithm for fusioning images of text-documents taken with different exposures. It is compared to several standard block oriented exposure- and focus-bl...
Marco Block, Maxim Schaubert, Fabian Wiesel, Ra&ua...
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
James Orwell, Darrel Greenhill, Jonathan D. Rymel,...