351 search results - page 1 / 71 » Classification Based on Combination of Kernel Density Estima... |
96
Voted
ICANN
2009
Springer
15 years 1 months ago
2009
Springer
Abstract. A new classification algorithm based on combination of kernel density estimators is introduced. The method combines the estimators with different bandwidths what can be i...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. We examine efficacy of a classifier based on average of kernel density estimators; each estimator corresponds to a different data "resolution". Parameters of th...
NIPS
1998
14 years 11 months ago
1998
We compare the ability of three exemplar-based memory models, each using three different face stimulus representations, to account for the probability a human subject responded &q...
87
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...