1584 search results - page 10 / 317 » On Combining Multiple Classifiers Using an Evidential Approa... |
FLAIRS
2008
15 years 1 months ago
2008
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
95
Voted
EWCBR
2006
Springer
15 years 3 months ago
2006
Springer
The design of a CBR system involves the use of similarity metrics. For many applications, various functions can be adopted to compare case features and to aggregate them into a glo...
84
Voted
ECCV
2004
Springer
16 years 1 months ago
2004
Springer
We propose a multiple classifier system approach to object recognition in computer vision. The aim of the approach is to use multiple experts successively to prune the list of cand...
92
Voted
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
GECCO
2009
Springer
15 years 3 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...