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» The Convergence Rate of AdaBoost
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ISBI
2011
IEEE
13 years 1 months ago
Hippocampus segmentation using a stable maximum likelihood classifier ensemble algorithm
We develop a new algorithm to segment the hippocampus from MR images. Our method uses a new classifier ensemble algorithm to correct segmentation errors produced by a multi-atlas...
Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, Mur...
ICPR
2008
IEEE
14 years 11 months ago
Automatic eye state recognition and closed-eye photo correction
In this paper, we present an approach for eye state recognition and closed-eye photo correction. For eye state recognition, AdaBoosted cascade open-eye detectors of different scal...
Haizhou Ai, Zhaojie Liu
ECCV
2010
Springer
13 years 10 months ago
Boosting Chamfer Matching by Learning Chamfer Distance Normalization
We propose a novel technique that significantly improves the performance of oriented chamfer matching on images with cluttered background. Different to other matching methods, whic...
Tianyang Ma, Xingwei Yang, Longin Jan Latecki
CVPR
2005
IEEE
14 years 11 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
ICCV
2005
IEEE
14 years 11 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah