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» Variability Models Must Not be Invariant!
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ECCV
2004
Springer
14 years 28 days ago
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
Lei Zhang 0002, Dimitris Samaras
VAMOS
2008
Springer
13 years 9 months ago
Reflective Component-based Technologies to Support Dynamic Variability
In this paper we propose an approach to support dynamic or runtime variability in systems that must adapt dynamically to changing runtime context. The approach is founded on refle...
Nelly Bencomo, Gordon S. Blair, Carlos A. Flores-C...
NIPS
2007
13 years 9 months ago
Convex Relaxations of Latent Variable Training
We investigate a new, convex relaxation of an expectation-maximization (EM) variant that approximates a standard objective while eliminating local minima. First, a cautionary resu...
Yuhong Guo, Dale Schuurmans
ICC
2009
IEEE
136views Communications» more  ICC 2009»
13 years 5 months ago
Dimensioning of a Multi-Rate Network Transporting Variable Bit Rate TV Channels
We consider a centralised (client-server) digital TV network with heterogeneous receiver devices of different resolutions, requiring a multi-rate transport system. There exist two ...
Zlatka Avramova, Sabine Wittevrongel, Herwig Brune...
DAC
2004
ACM
14 years 29 days ago
Parametric yield estimation considering leakage variability
Leakage current has become a stringent constraint in today’s processor designs in addition to traditional constraints on frequency. Since leakage current exhibits a strong inver...
Rajeev R. Rao, Anirudh Devgan, David Blaauw, Denni...