446 search results - page 15 / 90 » On the design of robust classifiers for computer vision |
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Traditional methods for creating classifiers have two main disadvantages. Firstly, it is time consuming to acquire, or manually annotate, the training collection. Secondly, the da...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a new technique that employs support vector machines and Gaussian mixture densities to create a generative/discriminative joint classifier. In the past, several approac...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
This paper proposes an efficient three-stage classifier for handwritten digit recognition based on NN (Neural Network) and SVM (Support Vector Machine) classifiers. The classifica...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...