Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
In this paper we propose a framework for gradient descent
image alignment in the Fourier domain. Specifically,
we propose an extension to the classical Lucas & Kanade
(LK) a...
Piecewise planar models for stereo have recently become popular for modeling indoor and urban outdoor scenes. The strong planarity assumption overcomes the challenges presented by...
When online ads are shown together, they compete for user attention and conversions, imposing negative externalities on each other. While the competition for user attention in spo...
Recent research provides evidence for the presence of emergent semantics in collaborative tagging systems. While several methods have been proposed, little is known about the fact...