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» Robust Feature Selection Algorithms
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ICIP
2005
IEEE
14 years 2 months ago
Reference picture selection in an already MPEG encoded bitstream
Reference picture selection (RPS) is the most common error resilience method for robust transmission over lossy networks. However, RPS has been studied for use in realtime encodin...
Hoi-Kin Cheung, Yui-Lam Chan, Wan-Chi Siu
KI
2005
Springer
14 years 2 months ago
Selecting What Is Important: Training Visual Attention
We present a new, sophisticated algorithm to select suitable training images for our biologically motivated attention system VOCUS. The system detects regions of interest depending...
Simone Frintrop, Gerriet Backer, Erich Rome
TCSV
2008
195views more  TCSV 2008»
13 years 9 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
14 years 1 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
ICCV
2009
IEEE
13 years 7 months ago
Exploiting uncertainty in random sample consensus
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the estimation procedure, results in a more efficient rob...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys