8 search results - page 1 / 2 » Estimation of symmetric chi-square divergence for point proc... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper addresses the estimation of symmetric χ2 -divergence between two point processes. We propose a novel approach by, first, mapping the space of spike trains in an appro...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
In this paper, we propose a novel and robust algorithm for the groupwise non-rigid registration of multiple unlabeled point-sets with no bias toward any of the given pointsets. To...
ECML
2005
Springer
13 years 11 months ago
2005
Springer
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
ICIAP
1999
ACM
13 years 10 months ago
1999
ACM
Using the Jensen-Shannon divergence of grey level histograms obtained by sliding a double window over an image, an edge-detector is presented. A new technique for linking unconnec...