Mutual information (MI) is a popular similarity metric
for multimodality image registration purpose. However,
it is negatively influenced by artifacts due to interpolation
effec...
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
We address the automatic classification of scanned input media in order to improve color calibration. Since scanner responses vary significantly according to the type of input, a ...
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...