We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
An essential prerequisite for any systems-level understanding of cellular functions is to correctly uncover and annotate all functional interactions among proteins in the cell. To...
Damian Szklarczyk, Andrea Franceschini, Michael Ku...
Efficient global illumination computation in dynamically changing environments is an important practical problem. In high-quality animation rendering costly "final gathering&...
Takehiro Tawara, Karol Myszkowski, Hans-Peter Seid...