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» Boosting strategy for classification
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ICML
2005
IEEE
14 years 8 months ago
Linear Asymmetric Classifier for cascade detectors
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
Jianxin Wu, Matthew D. Mullin, James M. Rehg
DFT
2008
IEEE
82views VLSI» more  DFT 2008»
14 years 2 months ago
Selective Hardening of NanoPLA Circuits
Nanoelectronic components are expected to suffer from very high error rates, implying the need for hardening techniques. We propose a fine-grained approach to harden a promising...
Ilia Polian, Wenjing Rao
PAMI
2011
13 years 2 months ago
Revisiting Linear Discriminant Techniques in Gender Recognition
—Emerging applications of computer vision and pattern recognition in mobile devices and networked computing require the development of resourcelimited algorithms. Linear classifi...
Juan Bekios-Calfa, José Miguel Buenaposada,...
GCC
2005
Springer
14 years 1 months ago
An Adaptive Service Strategy Based on User Rating in P2P
In order to deal with free riding in P2P system, incentive mechanism or rating system is presented, and each user rating is computed by itself, which causes that some users exagger...
Jianming Fu, Lei Zhang, Weinan Li, Huanguo Zhang
CVIU
2008
109views more  CVIU 2008»
13 years 7 months ago
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual st
In this paper we introduce a novel method to address minimization of static and dynamic MRFs. Our approach is based on principles from linear programming and, in particular, on pr...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios