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ICPR
2008
IEEE
14 years 9 months ago
Boosting local feature descriptors for automatic objects classification in traffic scene surveillance
We address the problem of automatic object classification for traffic scene surveillance, which is very challenging for the low resolution videos, large intraclass variations and ...
Kaiqi Huang, Min Li, Tieniu Tan, Zhaoxiang Zhang
ICPR
2008
IEEE
14 years 2 months ago
Robust indoor activity recognition via boosting
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato
ICPR
2008
IEEE
14 years 2 months ago
Subject-independent brain computer interface through boosting
This paper presents a subject-independent EEG (Electroencephalogram) classification technique and its application to a P300-based word speller. Due to EEG variations across subje...
Shijian Lu, Cuntai Guan, Haihong Zhang
WACV
2008
IEEE
14 years 2 months ago
Fast and Fully Automatic Ear Detection Using Cascaded AdaBoost
Ear detection from a profile face image is an important step in many applications including biometric recognition. But accurate and rapid detection of the ear for real-time appli...
Syed M. S. Islam, Mohammed Bennamoun, Rowan Davies
ACCV
2007
Springer
14 years 1 months ago
A Theoretical Approach to Construct Highly Discriminative Features with Application in AdaBoost
AdaBoost is a practical method of real-time face detection, but abides by a crucial problem of overfitting for the big number of features used in a trained classifier due to the ...
Yuxin Jin, Linmi Tao, Guangyou Xu, Yuxin Peng