82 search results - page 3 / 17 » Boosting Chain Learning for Object Detection |
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
ECCV
2004
Springer
14 years 7 months ago
2004
Springer
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
CVPR
2001
IEEE
14 years 7 months ago
2001
IEEE
This paper describes a machine learning approach for visual
object detection which is capable of processing images
extremely rapidly and achieving high detection rates. This
wor...
NIPS
2004
13 years 6 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
ICCV
2005
IEEE
13 years 11 months ago
2005
IEEE
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...