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JMLR
2011
111views more  JMLR 2011»
13 years 5 months ago
Models of Cooperative Teaching and Learning
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
TR
2011
172views more  TR 2011»
13 years 5 months ago
Multi-State Reliability Systems Under Discrete Time Semi-Markovian Hypothesis
We consider repairable reliability systems with m components, the lifetimes and repair times of which are independent. The l-th component can be either in the failure state 0 or i...
Ourania Chryssaphinou, Nikolaos Limnios, Sonia Mal...
ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
15 years 3 months ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...
CVPR
2008
IEEE
15 years 26 days ago
Accurate Eye Center Location and Tracking Using Isophote Curvature
The ubiquitous application of eye tracking is precluded by the requirement of dedicated and expensive hardware, such as infrared high definition cameras. Therefore, systems based s...
Roberto Valenti, Theo Gevers
CVPR
2001
IEEE
15 years 2 days ago
Gait Recognition Using Static, Activity-Specific Parameters
A gait-recognition technique that recovers static body and stride parameters of subjects as they walk is presented. This approach is an example of an activity-specific biometric: ...
Aaron F. Bobick, Amos Y. Johnson