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» Boosting Object Detection Using Feature Selection
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ETS
2011
IEEE
230views Hardware» more  ETS 2011»
14 years 1 months ago
Dynamic Test Set Selection Using Implication-Based On-Chip Diagnosis
—As circuits continue to scale to smaller feature sizes, wearout and latent defects are expected to cause an increasing number of errors in the field. Online error detection tec...
Nuno Alves, Y. Shi, N. Imbriglia, Jennifer Dworak,...
3DPVT
2004
IEEE
108views Visualization» more  3DPVT 2004»
15 years 5 months ago
Unsupervised Motion Classification by Means of Efficient Feature Selection and Tracking
This paper presents an efficient technique for human motion recognition; in particular, it is focused on labeling a movement as a walking or running displacement, which are the mo...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...
ICCV
2003
IEEE
16 years 3 months ago
On-Line Selection of Discriminative Tracking Features
This paper presents a method for evaluating multiple feature spaces while tracking, and for adjusting the set of features used to improve tracking performance. Our hypothesis is t...
Robert T. Collins, Yanxi Liu
ACMSE
2005
ACM
15 years 7 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
CVPR
2008
IEEE
16 years 4 months ago
Boosted deformable model for human body alignment
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
Xiaoming Liu 0002, Ting Yu, Thomas Sebastian, Pete...