71 search results - page 5 / 15 » Unsupervised Discretization Using Tree-Based Density Estimat... |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
SGP
2007
13 years 10 months ago
2007
A robust statistics approach to curvature estimation on discretely sampled surfaces, namely polygon meshes and point clouds, is presented. The method exhibits accuracy, stability ...
EMMCVPR
2003
Springer
14 years 1 months ago
2003
Springer
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice,...
AUSAI
2003
Springer
13 years 11 months ago
2003
Springer
We investigate why discretization is effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naiveBay...
DAGM
2010
Springer
13 years 9 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...