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» Kernels for Global Constraints
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KDD
2012
ACM
183views Data Mining» more  KDD 2012»
11 years 11 months ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li
PR
2007
143views more  PR 2007»
13 years 8 months ago
Shadow resistant tracking using inertia constraints
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, a...
Hao Jiang, Mark S. Drew
CVPR
2005
IEEE
14 years 11 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
AROBOTS
2011
13 years 4 months ago
Large scale graph-based SLAM using aerial images as prior information
— To effectively navigate in their environments and accurately reach their target locations, mobile robots require a globally consistent map of the environment. The problem of le...
Rainer Kümmerle, Bastian Steder, Christian Do...
DATE
2006
IEEE
77views Hardware» more  DATE 2006»
14 years 3 months ago
Soft-error classification and impact analysis on real-time operating systems
This paper investigates the sensitivity of real-time systems running applications under operating systems that are subject to soft-errors. We consider applications using different...
N. Ignat, B. Nicolescu, Yvon Savaria, Gabriela Nic...