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MICRO
2007
IEEE
103views Hardware» more  MICRO 2007»
14 years 2 months ago
Mitigating Parameter Variation with Dynamic Fine-Grain Body Biasing
Parameter variation is detrimental to a processor’s frequency and leakage power. One proposed technique to mitigate it is Fine-Grain Body Biasing (FGBB), where different parts o...
Radu Teodorescu, Jun Nakano, Abhishek Tiwari, Jose...
FGR
2008
IEEE
218views Biometrics» more  FGR 2008»
14 years 2 months ago
Model-based reconstruction for illumination variation in face images
We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontr...
B. J. Boom, Luuk J. Spreeuwers, Raymond N. J. Veld...
ICIP
2006
IEEE
14 years 9 months ago
A Variational Approach for Shapes Registration Using Vector Maps
The main focus of this paper is the shape representation and registration using vector level set functions. This powerful representation is more flexible than conventional signed ...
Hossam E. Abd El Munim, Aly A. Farag
ICML
2007
IEEE
14 years 8 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
IMR
2003
Springer
14 years 29 days ago
A Local Cell Quality Metric and Variational Grid Smoothing Algorithm
A local cell quality metric is introduced and used to construct a variational functional for a grid smoothing algorithm. A maximum principle is proved and the properties of the loc...
Larisa Branets, Graham F. Carey