EMMCVPR
1999
Springer
13 years 9 months ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
LSSC
2005
Springer
13 years 10 months ago
2005
Springer
In this contribution we extend our previous results on the structured total least squares problem to the case of weighted cost functions. It is shown that the computational complex...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...