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» Boosting with Diverse Base Classifiers
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IJCV
2007
113views more  IJCV 2007»
14 years 9 months ago
Boosting Sex Identification Performance
This paper presents a method based on AdaBoost to identify the sex of a person from a low resolution grayscale picture of their face. The method described here is implemented in a...
Shumeet Baluja, Henry A. Rowley
CVPR
2008
IEEE
15 years 11 months ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...
FPGA
2009
ACM
343views FPGA» more  FPGA 2009»
15 years 4 months ago
Fpga-based face detection system using Haar classifiers
This paper presents a hardware architecture for face detection based system on AdaBoost algorithm using Haar features. We describe the hardware design techniques including image s...
Junguk Cho, Shahnam Mirzaei, Jason Oberg, Ryan Kas...
PRL
2007
118views more  PRL 2007»
14 years 9 months ago
Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
Multi-class AdaBoost algorithms AdaBooost.MO, -ECC and -OC have received a great attention in the literature, but their relationships have not been fully examined to date. In this...
Yijun Sun, Sinisa Todorovic, Jian Li
FSKD
2009
Springer
103views Fuzzy Logic» more  FSKD 2009»
15 years 2 months ago
The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes
—This paper presents some preliminary experimental results on RegionBoost, which is a typical example of a class of Boosting algorithms based on dynamic weighting schemes. It is ...
Xinzhu Yang, Bo Yuan, Wenhuang Liu