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DFT
2008
IEEE
82views VLSI» more  DFT 2008»
14 years 8 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
CVPR
2006
IEEE
14 years 7 months ago
Learning Boosted Asymmetric Classifiers for Object Detection
Object detection can be posted as those classification tasks where the rare positive patterns are to be distinguished from the enormous negative patterns. To avoid the danger of m...
Xinwen Hou, Cheng-Lin Liu, Tieniu Tan
NIPS
2001
13 years 7 months ago
Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade
This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative examples is highly skewed (e.g. face detection or databa...
Paul A. Viola, Michael J. Jones
CORR
2011
Springer
193views Education» more  CORR 2011»
12 years 9 months ago
The Rate of Convergence of AdaBoost
The AdaBoost algorithm was designed to combine many “weak” hypotheses that perform slightly better than random guessing into a “strong” hypothesis that has very low error....
Indraneel Mukherjee, Cynthia Rudin, Robert E. Scha...
BMVC
2002
13 years 8 months ago
Real-time gesture recognition using deterministic boosting
A gesture recognition system which can reliably recognize single-hand gestures in real time on a 600Mhz notebook computer is described. The system has a vocabulary of 46 gestures ...
Raymond Lockton, Andrew W. Fitzgibbon