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» On the Convergence of Boosting Procedures
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CVPR
2007
IEEE
14 years 10 months ago
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...
ICMI
2005
Springer
158views Biometrics» more  ICMI 2005»
14 years 2 months ago
Recognition of sign language subwords based on boosted hidden Markov models
Sign language recognition (SLR) plays an important role in human-computer interaction (HCI), especially for the convenient communication between deaf and hearing society. How to e...
Liang-Guo Zhang, Xilin Chen, Chunli Wang, Yiqiang ...
APNOMS
2006
Springer
14 years 10 days ago
Convergence Services Through NGN-CTE on the Multiple Service Provider Environments in NGN
The NGN convergence services will play an important role to consolidate the deployment of NGN at the initial phase. At the initial stage, scenario-based approach is expected to act...
Soong Hee Lee, Haeng Suk Oh, Dong Il Kim, Hee Chan...
IJCAI
2007
13 years 10 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
ECCV
2006
Springer
14 years 10 months ago
Accelerated Convergence Using Dynamic Mean Shift
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Kai Zhang, James T. Kwok, Ming Tang