205 search results - page 13 / 41 » Boosting Method for Local Learning in Statistical Pattern Re... |
CVPR
2010
IEEE
15 years 5 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...
ACIVS
2008
Springer
15 years 4 months ago
2008
Springer
A currently popular trend in object detection and pattern recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these cla...
ICVGIP
2008
14 years 11 months ago
2008
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
103
click to vote
SCIA
2005
Springer
15 years 3 months ago
2005
Springer
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...