Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...
Two discrete-event simulations are developed to assess the feasibility of improving the delivery process of reinforced concrete structures. The simulations represent the resource ...
John-Michael Wong, Kristen Parrish, Iris D. Tommel...
United States Air Mobility Command (AMC) has a limited number of C-5 aircraft, and so opportunities to either preserve or increase aircraft availability are of interest to them. I...
Alan W. Johnson, Charles Glasscock, Adam Little, M...
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...