871 search results - page 19 / 175 » Selection of Classifiers Based on Multiple Classifier Behavi... |
122
click to vote
FGR
2004
IEEE
15 years 3 months ago
2004
IEEE
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Three different systematic approaches to generate multiple classifiers in atlas-based biomedical image segmentation are compared. Different atlases, as well as different parametri...
FLAIRS
2000
15 years 1 months ago
2000
The design of an optimal Bayesian classifier for multiple features is dependent on the estimation of multidimensional joint probability density functions and therefore requires a ...
108
click to vote
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
PAMI
2006
14 years 11 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...