53 search results - page 4 / 11 » On the Existence of Linear Weak Learners and Applications to... |
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
In this paper we propose an early termination algorithm for speeding up the detection phase of the Adaboost based detectors. In the basic algorithm, at a specific search location,...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
NIPS
2003
13 years 8 months ago
2003
Mutual Boosting is a method aimed at incorporating contextual information to augment object detection. When multiple detectors of objects and parts are trained in parallel using A...
PR
2008
13 years 7 months ago
2008
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...