137 search results - page 15 / 28 » Prototype Learning Methods for Online Handwriting Recognitio... |
IBPRIA
2007
Springer
14 years 1 months ago
2007
Springer
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles. In this paper we introduce the boosting of blurre...
ACSW
2004
13 years 9 months ago
2004
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
VL
2010
IEEE
13 years 6 months ago
2010
IEEE
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...