We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
In this paper we describe two explorations in the use of hybrid user interfaces for collaborative geographic data visualization. Our first interface combines three technologies; A...
Nicholas R. Hedley, Mark Billinghurst, Lori Postne...
Multi-agent interactions often result in mutual occlusion sequences which constitute a visual signature for the event. We define six qualitative occlusion primitives based on the ...
Amitabha Mukerjee, K. S. Venkatesh, Pabitra Mitra,...
We present a taxonomy for local distance functions where most existing algorithms can be regarded as approximations of the geodesic distance defined by a metric tensor. We categor...