313 search results - page 5 / 63 » Boosting with Diverse Base Classifiers |
BIOID
2008
13 years 9 months ago
2008
Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
PCM
2007
Springer
14 years 1 months ago
2007
Springer
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
DAGM
2003
Springer
14 years 9 days ago
2003
Springer
Recently Viola et al. have introduced a rapid object detection scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce and empirically analysis ...
NIPS
2004
13 years 8 months ago
2004
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...