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» On Conditions for Linearity of Optimal Estimation
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CVPR
2004
IEEE
15 years 11 months ago
Optimizing Motion Estimation with Linear Programming and Detail-Preserving Variational Method
In this paper, we propose a novel linear programming based method to estimate arbitrary motion from two images. The proposed method always finds the global optimal solution of the...
Hao Jiang, Ze-Nian Li, Mark S. Drew
FGR
2000
IEEE
181views Biometrics» more  FGR 2000»
15 years 2 months ago
Face Detection Using Mixtures of Linear Subspaces
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman
CVPR
2008
IEEE
15 years 11 months ago
Global pose estimation using non-tree models
We propose a novel global pose estimation method to detect body parts of articulated objects in images based on non-tree graph models. There are two kinds of edges defined in the ...
Hao Jiang, David R. Martin
69
Voted
CDC
2009
IEEE
103views Control Systems» more  CDC 2009»
15 years 2 months ago
Networked state estimation over a Gilbert-Elliot type channel
Abstract— We characterize the stability and achievable performance of networked estimation under correlated packet losses described by the Gilbert-Elliot model. For scalar contin...
Peter Almstrom, Maben Rabi, Mikael Johansson
SIGMOD
2004
ACM
142views Database» more  SIGMOD 2004»
15 years 9 months ago
Conditional Selectivity for Statistics on Query Expressions
Cardinality estimation during query optimization relies on simplifying assumptions that usually do not hold in practice. To diminish the impact of inaccurate estimates during opti...
Nicolas Bruno, Surajit Chaudhuri