We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
We propose a shape population metric that reflects the interdependencies between points observed in a set of examples. It provides a notion of topology for shape and appearance m...
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
Cartographers have long used flow maps to show the movement of objects from one location to another, such as the number of people in a migration, the amount of goods being traded,...
Doantam Phan, Ling Xiao, Ron B. Yeh, Pat Hanrahan,...
Abstract In this study we set to investigate visual attention properties of freely behaving barn owls using a miniature wireless camera attached to their heads. The tubular eye str...
Shay Ohayon, Wolf Harmening, Hermann Wagner, Ehud ...