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DFT
2008
IEEE
82views VLSI» more  DFT 2008»
14 years 15 days 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
TNN
2010
176views Management» more  TNN 2010»
13 years 23 days ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
CVPR
2009
IEEE
13 years 10 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
IDEAL
2004
Springer
13 years 11 months ago
Orthogonal Least Square with Boosting for Regression
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
Sheng Chen, Xunxian Wang, David J. Brown
PAMI
2011
13 years 1 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,...