In images with low texture the performance of conventional dense stereo can be poor. The usual solution to this is to use a large window but this itself can be problematic as the ...
Kimberly Moravec, Richard Harvey, J. Andrew Bangha...
We consider the problem of learning a Riemannian metric associated with a given differentiable manifold and a set of points. Our approach to the problem involves choosing a metric...
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
This paper describes two aspects of architecture of componentized systems. First, properties of the basic building blocks (acquisition and presentation components) are discussed a...
Most of recent and important algorithms in signal processing (for blind identification or separation, etc) are based on higher order statistics (HOS). And most of them use a crite...