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» Approximate reduction of dynamic systems
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CISS
2008
IEEE
15 years 7 months ago
Distributed processing in frames for sparse approximation
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...
Christopher J. Rozell
ATAL
2008
Springer
15 years 3 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
ICCV
2007
IEEE
15 years 2 months ago
Ten-fold Improvement in Visual Odometry Using Landmark Matching
Our goal is to create a visual odometry system for robots and wearable systems such that localization accuracies of centimeters can be obtained for hundreds of meters of distance ...
Zhiwei Zhu, Taragay Oskiper, Supun Samarasekera, R...
APGV
2010
ACM
232views Visualization» more  APGV 2010»
15 years 4 months ago
A reassessment of the simultaneous dynamic range of the human visual system
The dynamic range of the human visual system should be an important parameter in the design of high dynamic range (HDR) display devices. A good display should at least approximate...
Timo Kunkel, Erik Reinhard
98
Voted
ISIPTA
2003
IEEE
145views Mathematics» more  ISIPTA 2003»
15 years 6 months ago
An Extended Set-valued Kalman Filter
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Darryl Morrell, Wynn C. Stirling