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» Input Modeling Using Quantile Statistical Methods
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ACCV
2006
Springer
14 years 1 months ago
Face Recognition Under Varying Illumination Based on MAP Estimation Incorporating Correlation Between Surface Points
In this paper, we propose a new method for face recognition under varying illumination conditions using a single input image. Our method is based on a statistical shape-from-shadin...
Mihoko Shimano, Kenji Nagao, Takahiro Okabe, Imari...
EMNLP
2007
13 years 9 months ago
Syntactic Re-Alignment Models for Machine Translation
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
Jonathan May, Kevin Knight
PATMOS
2007
Springer
14 years 1 months ago
Switching Activity Reduction of MAC-Based FIR Filters with Correlated Input Data
In this work we consider coefficient reordering for low power realization of FIR filters on fixed-point multiply-accumulate (MAC) based architectures, such as DSP processors. Com...
Oscar Gustafsson, Saeeid Tahmasbi Oskuii, Kenny Jo...
NIPS
1997
13 years 9 months ago
Using Expectation to Guide Processing: A Study of Three Real-World Applications
In many real world tasks, only a small fraction of the available inputs are important at any particular time. This paper presents a method for ascertaining the relevance of inputs...
Shumeet Baluja
TCAD
2010
98views more  TCAD 2010»
13 years 2 months ago
Statistical Modeling With the PSP MOSFET Model
PSP and the backward propagation of variance (BPV) method are used to characterize the statistical variations of metal-oxide-semiconductor field effect transistors (MOSFETs). BPV s...
Xin Li, Colin C. McAndrew, Weimin Wu, Samir Chaudh...