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» Ink recognition based on statistical classification methods
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132
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AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
15 years 8 months ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao
140
Voted
ICB
2009
Springer
122views Biometrics» more  ICB 2009»
15 years 9 months ago
A New Fake Iris Detection Method
Recent research works have revealed that it is not difficult to spoof an automated iris recognition system using fake iris such as contact lens and paper print etc. Therefore, it i...
XiaoFu He, Yue Lu, Pengfei Shi
178
Voted
GBRPR
2007
Springer
15 years 6 months ago
An Efficient Ontology-Based Expert Peering System
Abstract. This paper proposes an expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can ask e...
Tansu Alpcan, Christian Bauckhage, Sachin Agarwal
121
Voted
ICIP
2002
IEEE
16 years 4 months ago
Boosting face recognition on a large-scale database
Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Juwei Lu, Konstantinos N. Plataniotis
130
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BMVC
2010
15 years 19 days ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen