The requirement to change scale frequently is common to many 2D and 3D applications. Users must “zoom in” to examine details and “zoom out” to appreciate the context. This...
—This paper presents a new streamline placement algorithm that produces evenly spaced long streamlines while preserving topological features of a flow field. Singularities and se...
Keqin Wu, Zhanping Liu, Song Zhang, Robert J. Moor...
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...
Effective and efficient generation of keypoints from an image is a well-studied problem in the literature and forms the basis of numerous Computer Vision applications. Establishe...
Stefan Leutenegger, Margarita Chli, Roland Y. Sieg...