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» Algorithmic Fusion for More Robust Feature Tracking
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ICCAD
1997
IEEE
129views Hardware» more  ICCAD 1997»
15 years 1 months ago
A fast and robust exact algorithm for face embedding
We present a new matrix formulation of the face hypercube embedding problem that motivates the design of an efficient search strategy to find an encoding that satisfies all fac...
Evguenii I. Goldberg, Tiziano Villa, Robert K. Bra...
ISPAN
1999
IEEE
15 years 2 months ago
Location Updates and Probabilistic Tracking Algorithms for Mobile Cellular Networks
In this work, we develop a novel mathematical model to analyze di erent location update protocols for mobile cellular network. Our model can capture many important features of use...
John C. S. Lui, Cedric C. F. Fong, H. W. Chan
ICPR
2008
IEEE
15 years 11 months ago
On using error bounds to optimize cost-sensitive multimodal biometric authentication
While using more biometric traits in multimodal biometric fusion can effectively increase the system robustness, often, the cost associated to adding additional systems is not con...
Norman Poh, Josef Kittler
ICCS
2007
Springer
15 years 3 months ago
Dynamic Tracking of Facial Expressions Using Adaptive, Overlapping Subspaces
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Dimitris N. Metaxas, Atul Kanaujia, Zhiguo Li
CVPR
2005
IEEE
15 years 11 months ago
Efficient Mean-Shift Tracking via a New Similarity Measure
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis