69 search results - page 4 / 14 » Knot selection by boosting techniques |
ACCV
2007
Springer
14 years 17 days ago
2007
Springer
We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
ICCV
2005
IEEE
14 years 2 months ago
2005
IEEE
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
CP
2011
Springer
12 years 8 months ago
2011
Springer
Algorithm portfolios aim to increase the robustness of our ability to solve problems efficiently. While recently proposed algorithm selection methods come ever closer to identifyin...
TMI
2010
13 years 7 months ago
2010
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...