22 search results - page 2 / 5 » Non-parametric Jensen-Shannon Divergence |
MVA
2002
13 years 4 months ago
2002
CVPR
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
ICASSP
2011
IEEE
12 years 8 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...
DEXAW
2008
IEEE
13 years 11 months ago
2008
IEEE
We consider topic detection without any prior knowledge of category structure or possible categories. Keywords are extracted and clustered based on different similarity measures u...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...