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» Face detection using large margin classifiers
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ECCV
2006
Springer
14 years 1 months ago
Robust Multi-view Face Detection Using Error Correcting Output Codes
Abstract. This paper presents a novel method to solve multi-view face detection problem by Error Correcting Output Codes (ECOC). The motivation is that face patterns can be divided...
Hongming Zhang, Wen Gao, Xilin Chen, Shiguang Shan...
ICML
2006
IEEE
14 years 10 months ago
How boosting the margin can also boost classifier complexity
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
Lev Reyzin, Robert E. Schapire
FPGA
2009
ACM
343views FPGA» more  FPGA 2009»
14 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...
ICIP
2009
IEEE
14 years 10 months ago
Face Detection Through Compact Classifier Using Adaptive Look-up-table
Face detection has been well studied in terms of accuracy and speed. However, required memory size reduction is still poorly studied, which is becoming a critical issue as platfor...
ICIP
2002
IEEE
14 years 11 months ago
Face detection using coarse-to-fine support vector classifiers
We describe a new face detection algorithm based on a hierarchy of support vector classifiers (SVMs) designed for efficient computation. The hierarchy serves as a platform for a c...
Hichem Sahbi, Donald Geman, Nozha Boujemaa