This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
We propose a real-time method for rendering rigid objects with complex view-dependent effects under distant all-frequency lighting. Existing precomputed light transport approaches...
Paul Green, Jan Kautz, Wojciech Matusik, Fré...
Abstract. Previously published methods for estimation of the worstcase execution time on contemporary processors with complex pipelines and multi-level memory hierarchies result in...
Navigation during Minimally Invasive Surgery
(MIS) has recognized difficulties due to limited field-of-view,
off-axis visualization and loss of direct 3D vision. This can cause
...