151 search results - page 20 / 31 » Iterative Improvement of Neural Classifiers |
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
A multimodal face verification process is presented for standard 2D color images, 2.5D range images and 3D meshes. A normalization in orientation and position is essential for 2.5...
HIS
2004
14 years 11 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
EMNLP
2009
14 years 7 months ago
2009
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
The problem of character recognition in a book should be formulated significantly different from that of a single page or word. An ideal approach to design such a recognizer is to...
ISNN
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we present a novel system for content-based retrieval and classification of cultural relic images. First, the images are normalized to achieve rotation, translation a...