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» Feature selection for ranking using boosted trees
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SIGIR
2005
ACM
15 years 11 months ago
Boosted decision trees for word recognition in handwritten document retrieval
Recognition and retrieval of historical handwritten material is an unsolved problem. We propose a novel approach to recognizing and retrieving handwritten manuscripts, based upon ...
Nicholas R. Howe, Toni M. Rath, R. Manmatha
ICCV
2005
IEEE
15 years 11 months ago
Image Based Regression Using Boosting Method
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...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...
ICCV
2001
IEEE
16 years 7 months ago
Pairwise Face Recognition
We develop a pairwise classification framework for face recognition, in which a class face recognition problem is divided into a set of ? ?? ? two class problems. Such a problem...
Guodong Guo, HongJiang Zhang, Stan Z. Li
3DIM
2007
IEEE
15 years 9 months ago
Aerial Lidar Data Classification using AdaBoost
We use the AdaBoost algorithm to classify 3D aerial lidar scattered height data into four categories: road, grass, buildings, and trees. To do so we use five features: height, hei...
Suresh K. Lodha, Darren N. Fitzpatrick, David P. H...
ACCV
2007
Springer
15 years 9 months ago
A Cascade of Feed-Forward Classifiers for Fast Pedestrian Detection
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...
Yu-Ting Chen, Chu-Song Chen