1765 search results - page 1 / 353 » Combinations of Weak Classifiers |
NIPS
1996
13 years 6 months ago
1996
To obtain classification systems with both good generalizat`ion performance and efficiency in space and time, we propose a learning method based on combinations of weak classifiers...
PRL
2008
13 years 4 months ago
2008
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
EVOW
2000
Springer
13 years 8 months ago
2000
Springer
This paper presents an investigation into the classification of a difficult data set containing large intra-class variability but low inter-class variability. Standard classifiers...
JVCIR
2010
13 years 3 months ago
2010
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
TIP
2008
13 years 4 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...